09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software. Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet.
2.
AWARENESS-BASED NON-PLAYER CHARACTER DECISION TECHNIQUES
A gaming system may provide for interactable environment geometry (IEG) detection. The gaming system may determine a sensory perspective of a sense of a non-player character (NPC) in a virtual environment of a game simulation, generate perception data of the NPC from the sensory perspective of the sense, input the perception data of the NPC into a detection model associated with the sense and receive, from the detection model, detection data for a detected item. The gaming system may then generate an awareness-based character decision for the NPC based on the detection data of the detected item.
A63F 13/67 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu en s’adaptant à ou par apprentissage des actions de joueurs, p. ex. modification du niveau de compétences ou stockage de séquences de combats réussies en vue de leur réutilisation
A63F 13/812 - Jeux de ballon, p. ex. football ou baseball
This specification describes systems, methods and apparatus for generating computer game levels using machine learning. According to a first aspect of this specification, there is described a computer implemented method comprising: extracting, from a known computer game level in a training dataset of known computer game levels for a computer game, a set of level features; processing, using an encoder neural network model, the known computer game level to generate an embedding of the known computer game level; processing, using a decoder neural network model, the embedding of the known game level and the set of level features to generate data indicative of a candidate computer game level for the computer game; determining a value of an objective function based on the data indicative of the candidate computer game level; and updating parameters of the encoder model and/or decoder model based at least in part on the value of the objective function.
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
4.
System for automated generation of facial shapes for virtual character models
Systems and methods are provided for enhanced face shape generation for archetypes of virtual entities based on generative modeling techniques. An example method includes training models based on synthetically generated faces and information associated with an authoring system. The modeling system being trained to reconstruct face shapes for virtual entities based on a latent space embedding of a face identity associated with specific archetypes.
G06T 17/20 - Description filaire, p. ex. polygonalisation ou tessellation
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
The present disclosure provides a state stream game engine for a video game application. The state stream game engines can decouple the simulation of a video game application from the rendering of the video game application. The simulation of the video game is handled by a simulation engine. The rendering of the video game is handled by a presentation engine. The data generated by the simulation engine can be communicated to the presentation engine 124 using a state stream.
A63F 13/355 - Réalisation d’opérations pour le compte de clients ayant des capacités de traitement restreintes, p. ex. serveurs transformant une scène de jeu qui évolue en flux vidéo codé à transmettre à un téléphone portable ou à un client léger
A63F 13/352 - Détails des serveurs de jeu comportant des dispositions particulières de serveurs de jeu, p. ex. des serveurs régionaux connectés à un serveur national ou à plusieurs serveurs gérant les partitions de jeu
6.
CHARACTER CONTROLLERS USING MOTION VARIATIONAL AUTOENCODERS (MVAES)
Some embodiments herein can include methods and systems for predicting next poses of a character within a virtual gaming environment. The pose prediction system can identify a current pose of a character, generate a gaussian distribution representing a sample of likely poses based on the current pose, and apply the gaussian distribution to the decoder. The decoder can be trained to generate a predicted pose based on a gaussian distribution of likely poses. The system can then render the predicted next pose of the character within the three-dimensional virtual gaming environment. Advantageously, the pose prediction system can apply a decoder that does not include or use input motion capture data that was used to train the decoder.
Implementations described herein relate to a method for predicting motion capture data implemented by a video game development system comprising one or more processors, the method including: obtaining, by one or more of the processors of the video game development system, motion capture data; the motion capture data including one or more missing values; generating, by one or more of the processors of the video game development system, a predicted value for the one or more missing values, generating a predicted value includes processing the motion capture data using one or more machine learning models to determine the predicted value.
This specification describes a computer-implemented method of generating expressive speech audio for use in a video game. The method comprises receiving user-input text data and receiving prosody data obtained from user-input speech style data. The user-input text data is processed by a text encoder to generate a text feature embedding. A speech feature embedding is generated by an embedding converter based upon the text feature embedding. The prosody data is processing by a prosody encoder to generate a prosody feature embedding. A speech signal is generated by a speech decoder based upon the speech feature embedding and the prosody feature embedding.
G10L 13/10 - Règles de prosodie dérivées du texteIntonation ou accent tonique
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
G10L 13/033 - Édition de voix, p. ex. transformation de la voix du synthétiseur
G10L 13/047 - Architecture des synthétiseurs de parole
9.
Motion capture data prediction system for video game development
Implementations disclosed herein are directed to a method for predicting motion capture data implemented by a video game development system including one or more processors. The method can include: obtaining, by one or more of the processors of the video game development system, motion capture data; the motion capture data can include one or more missing values; generating, by one or more of the processors of the video game development system, a predicted value for the one or more missing values. Generating a predicted value can include processing the motion capture data using one or more machine learning models to determine the predicted value.
A63F 13/428 - Traitement des signaux de commande d’entrée des dispositifs de jeu vidéo, p. ex. les signaux générés par le joueur ou dérivés de l’environnement par mappage des signaux d’entrée en commandes de jeu, p. ex. mappage du déplacement d’un stylet sur un écran tactile en angle de braquage d’un véhicule virtuel incluant des signaux d’entrée de mouvement ou de position, p. ex. des signaux représentant la rotation de la manette d’entrée ou les mouvements des bras du joueur détectés par des accéléromètres ou des gyroscopes
A63F 13/65 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu automatiquement par des dispositifs ou des serveurs de jeu, à partir de données provenant du monde réel, p. ex. les mesures en direct dans les compétitions de course réelles
A system is disclosed that is able to combine motion capture data with volumetric capture data to capture player style information for a player. This player style information or player style data may be used to modify animation models used by a video game to create a more realistic look and feel for a player being emulated by the video game. This more realistic look and feel can enable the game to replicate play style of a player. For example, one soccer player may run with his elbows closer to his body and his forearm may swing across his torso. While another soccer player who is perhaps more muscular may run with his elbows and arms further from his body and his forearms may not cross in front of his torso when running.
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
In a video game, a player's character can start in a normal state, receive first damage, and change to an incapacitated state. The player's character can be revived from the incapacitated state back to the normal state. The player's character can be changed from the incapacitated state to a preliminarily defeated state, and in response, a player respawn activation item can be generated. The player respawn activation item can be used by the player's teammates to respawn the player's character at one or more respawn locations.
A63F 13/58 - Commande des personnages ou des objets du jeu en fonction de la progression du jeu en calculant l’état des personnages du jeu, p. ex. niveau de vigueur, de force, de motivation ou d’énergie
A63F 13/5378 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir utilisant des indicateurs, p. ex. en montrant l’état physique d’un personnage de jeu sur l’écran pour afficher une vue supplémentaire du dessus, p. ex. écrans radar ou cartes
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software
A system may perform motion capture using motion capture targets with concave reflector structures. For example, the motion capture target include a target body and a plurality of tracking markers located on respective portions of the surface of the target body. At least one tracking marker of the plurality of tracking markers may be a concave reflector structure including a tapered hole in the surface of the target body and at least a portion of a surface of the tapered hole may be reflective.
The techniques described herein include using a system for enabling assisted gameplay in a computer game using real-time detection of predefined scene features and mapping of the detected features to recommended actions. For example, the system may generate a scanning query (e.g., a segment cast) toward a target area within a virtual scene, determine a geometric feature based on the scanning query, determine a scene feature based on the geometric feature, determine an action associated with the scene feature, and control an avatar based on the action. Examples of scene features that may have mappings to recommended actions include obstacles within a predicted trajectory of the avatar and transitions in the ground level of the virtual scene.
A63F 13/577 - Simulations de propriétés, de comportement ou de déplacement d’objets dans le jeu, p. ex. calcul de l’effort supporté par un pneu dans un jeu de course automobile utilisant la détermination de la zone de contact entre les personnages ou les objets du jeu, p. ex. pour éviter une collision entre des voitures de course virtuelles
A63F 13/55 - Commande des personnages ou des objets du jeu en fonction de la progression du jeu
A63F 13/573 - Simulations de propriétés, de comportement ou de déplacement d’objets dans le jeu, p. ex. calcul de l’effort supporté par un pneu dans un jeu de course automobile utilisant les trajectoires des objets du jeu, p. ex. d’une balle de golf en fonction du point d’impact
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
A63F 13/63 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu par le joueur, p. ex. avec un éditeur de niveaux
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet Design and development of computer game software; Video game development services; Design and development of visualization technologies; design and development of gameplay technology; design and development of graphics software
19.
SYSTEMS AND METHODS FOR CONSTRAINED PHYSICALLY CONTROLLED ANIMATION SELECTION AND PLAYBACK
Systems and methods for constrained physically controlled animation selection and playback include a computing system configured to execute a game application configured generate a virtual game environment comprising first and second virtual character models. The game application may identify a collision event for a first frame, between the first virtual character model and the second virtual character model, where the character models are in locomotive states. The game application may determine first and second metric(s) of the character models, and apply the metrics to a model, to determine an outcome of the collision event for a second frame. The game application may identify an animation sequence having a type of animation sequence corresponding to the determined outcome, and generate the second frame according to the identified animation sequence.
A63F 13/577 - Simulations de propriétés, de comportement ou de déplacement d’objets dans le jeu, p. ex. calcul de l’effort supporté par un pneu dans un jeu de course automobile utilisant la détermination de la zone de contact entre les personnages ou les objets du jeu, p. ex. pour éviter une collision entre des voitures de course virtuelles
A63F 13/812 - Jeux de ballon, p. ex. football ou baseball
A motion capture object that includes the use of two types of markers for tracking and identifying motion capture objects within a motion capture environment. The system includes belt markers and motion capture markers. The belt markers are configured to divide the object into separate hemispheres (e.g., a first and second hemisphere). The motion capture markers in each hemisphere are positioned in different patterns. The motion capture markers in the first hemisphere are positioned in a first pattern that is unique to the first hemisphere. The motion capture markers in the second hemisphere are positioned in a second pattern that is unique to the second hemisphere.
A method, device, and computer-readable storage medium for generating levels-of-detail (LODs) for blendshape assets is disclosed. Given a base target and a set of blendshape targets, a LOD for the base target is generated based on performing edge collapse operations on the base target, where the edge collapse operations that are performed are informed by not only the geometry of the base target, but also the geometries of the blendshape targets. In some cases, the same edge collapse operations can also be performed on the blendshape targets to generate LODs for the blendshape targets, thereby maintaining topological consistency between the LODs for the base target and the blendshape targets. In some cases, a morphing operator can take as input a LOD of the base target and generate a LOD for a blendshape target.
Techniques for instantiating objects in a virtual space are described herein. For example, the techniques may include generating recommended furniture layouts in online games. The game (e.g., an online game) may receive a request to generate a furnished space. The game may identify the current configuration of the space to furnish (e.g., identify existing furniture, door(s), aperture(s), dimension(s) of the space and/or furniture, etc.). Further, the game may receive criteria that describe how to furnish the space (e.g., preferred furniture style, player budget(s), furniture priority, rule(s), etc.). The game may identify characteristics (e.g., furniture types, furniture style, etc.) of other spaces that are proximate to the space to furnish. The game may generate the recommended furnished space by inputting the current configuration of the space, the criteria, and/or the characteristics of the proximate space(s) into a machine learned model which may output a recommended furnished space.
A63F 13/65 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu automatiquement par des dispositifs ou des serveurs de jeu, à partir de données provenant du monde réel, p. ex. les mesures en direct dans les compétitions de course réelles
Systems and methods are provided for stabilization of rigid head motion in digital avatars. Examples include obtaining a plurality of facial expression scans of a subject, aligning the plurality of facial expression scans to a common coordinate system, and generating a stable hull based on an intersection of the plurality of facial expression scans aligned to the common coordinate system. Examples also include performing rigid stabilization of at least one facial expression scan of the subject by aligning the at least one facial expression scan to the stable hull and removing rigid transformations from the at least one facial expression scan caused by head motion of the subject.
G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p. ex. d’êtres humains, d’animaux ou d’êtres virtuels
G06T 17/20 - Description filaire, p. ex. polygonalisation ou tessellation
A first set of contact points for a hull object colliding with a first primitive of a mesh object is determined. An edge clip is generated for an edge of the first primitive based on determining that the hull object generates contact points with the edge. A face walk is performed into a second primitive of the mesh object across the edge for the edge clip. A set of initial contact points for the hull object colliding with the second primitive is generated using the algorithm. A second set of contact points is generated based on projecting each initial contact point in a direction of a contact normal for the first set of contact points onto a plane created by extending a feature of the first primitive. Contact points in the first and second set of contact points are output, but not the contacts along the edge clip.
Unresolved primitives of mesh objects are determined. A primary feature of a primitive of the mesh object is determined to be a vertex or edge. The primary feature is marked as a first unresolved primitive. All unresolved primitives or the mesh object colliding with a convex hull object are collected into a sorted list. The first unresolved primitive is determined to be a first link in a chain of unresolved primitives. An edge of the first unresolved primitive is determined to be marked as being walked through to continue to build the chain of unresolved primitives based on the primary feature and features connected to the primary feature. An index of the first unresolved primitive and an index of the edge marked as being walked through are added to the chain. A determination is made to continue to build the chain based on the extracted features of the neighboring primitive.
A method includes receiving runtime data from a gameplay session by a player of a video game and providing the runtime data from the gameplay session of the video game as an input to a gameplay model. The method further includes, responsive to providing the input, receiving output data from the gameplay model, and using the output data, generating an audio stream describing a context of the gameplay session. The method further includes providing the audio stream to the player of the video game during the gameplay session.
A63F 13/533 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir pour inciter une interaction avec le joueur, p. ex. en affichant le menu d’un jeu
27.
Generating expressive facial animation data from speech audio using speech emotion recognition
This specification provides a computer-implemented method for generating facial animation data. The facial animation data animates a face in a video game in accordance with speech sounds and speech emotion of speech audio. Speech audio data representing the speech audio is processed using a machine-learned speech emotion recognition model. One or more emotion representations that represent the emotion of the speech audio are generated. For each of the one or more emotion representations, a respective conditioning input for a facial animation generative model is determined. Facial animation data for the speech audio data is generated, comprising processing, using the facial animation generative model: (i) input data derived from the speech audio data, and (ii) the one or more conditioning inputs.
G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p. ex. d’êtres humains, d’animaux ou d’êtres virtuels
G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
G10L 25/63 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
This specification relates to methods of compression that utilise machine-learning. According to a first aspect of this specification, there is described a computer implemented method comprising: receiving, at a decoder and via a network, a first encoded representation of a set of input data and processing, by the decoder, the first encoded representation using a machine-learning decoder model to generate a first set of decoded data corresponding to the set of input data. The method further comprises processing, at the decoder, the first set of decoded data using a machine-learning encoder model to generate a second encoded representation of the set of input data. The machine-learning encoder model corresponds to an encoder-side machine-learning encoder model that was used to generate the first encoded representation. The method further comprises processing, at the decoder, the second encoded representation using the machine-learning decoder model to generate a second set of decoded data. The method further comprises comparing, at the decoder, the first set of decoded data to the second set of decoded data using an objective function, and updating, at the decoder, parameters of the machine-learning decoder model and/or machine learning encoder model based on the comparison of the first set of decoded data to the second set of decoded data.
A63F 13/71 - Aspects de sécurité ou de gestion du jeu utilisation d'une communication sécurisée entre les dispositifs de jeu et les serveurs de jeu, p. ex. en encryptant les données de jeu ou en authentifiant les joueurs
29.
SYSTEMS AND METHODS FOR LOD GENERATION FOR CLOTHING OBJECTS
Generating a simplified mesh is disclosed, comprising: receiving an input mesh associated with an outer bound mesh and an inner bound mesh, where each vertex of the input mesh is located outside the outer bound mesh and inside the inner bound mesh; performing one or more mesh simplification operations on the input mesh to generate a level-of-detail (LOD) mesh corresponding to the input mesh; determining that a first vertex of the LOD mesh is located outside the outer bound mesh or inside the inner bound mesh; determining a bound vector for the first vertex that binds the first vertex to the outer bound mesh or inner bound mesh; and generating an updated LOD mesh based on moving the first vertex based on the bound vector, wherein the first vertex in the updated LOD mesh is located inside the outer bound mesh and outside the inner bound mesh.
Systems and methods are provided for identifying slots for rendering characters in the video game during gameplay based on a variety of parameters. The system can, in some examples, determine slot assignments in a way that efficiently minimizes the maximum distance of any character is assigned to a slot while also minimizing the chances of characters crossing paths when entering an interaction from a distance. In some examples, the slot assignments can also satisfy match conditions for a particular slot or prioritize finding characters for mandatory slots.
A63F 13/537 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir utilisant des indicateurs, p. ex. en montrant l’état physique d’un personnage de jeu sur l’écran
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software. Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
(1) Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software. (1) Entertainment services, namely, providing on-line computer games; entertainment services, namely, providing computer games accessed and played via mobile and cellular phones and other wireless devices; provision of information relating to electronic computer games provided via the Internet; organizing, conducting and operating video game competitions and tournaments; entertainment services in the nature of arranging of electronic sports and video game contests, games, tournaments and competition; entertainment services, namely, providing a website featuring non-downloadable videos featuring live video game tournaments played by video game players; Sporting and cultural activities.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for optical tracking of players, officials, and objects on a playing field; downloadable computer software for producing and displaying physical, tactical, and statistical data based on optical tracking data. Teaching services/education; arranging of instruction/instruction; entertainment services; sports events and sports activities, cultural activities. Digital image management services.
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing on-line computer games; entertainment services, namely, providing online non-downloadable computer games accessed and played via mobile and cellular phones and other wireless devices; provision of information relating to electronic computer games provided via the Internet; organizing, conducting and operating video game competitions and tournaments; entertainment services in the nature of arranging of electronic sports and video game contests, games, tournaments and competition; entertainment services, namely, providing a website featuring non-downloadable videos featuring live video game tournaments played by video game players; Providing information relating to organizing community sporting and cultural activities.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software. Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
Implementations disclosed herein are directed to using a machine learning model to generate three-dimensional models of objects. In some implementations, a computer implemented method can include the steps of: generating, by a machine-learning model, a three-dimensional model of an object from a three-dimensional model of an initial object and conditional input(s) specifying target properties of the generated object; generating two-dimensional image(s) of the generated object from the three-dimensional model of the generated object; generating a respective image embedding for each of the two-dimensional image(s) of the generated object using an image embedding model; generating a respective conditional embedding for each of the conditional input(s); and updating parameters of the machine-learning model based on a comparison of the respective conditional embedding for each of the conditional input(s) and the respective image embeddings for each of the two-dimensional image(s) of the generated object.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software
42.
Depth rendering from neural radiance fields for 3D modeling
A method of generating a three-dimensional (3D) model includes obtaining a set of two-dimensional (2D) images of a scene acquired by one or more cameras from a set of camera angles and camera positions, obtaining the set of camera angles and camera positions based on obtaining, for each 2D image in the set of 2D images, a respective camera angle and a respective camera position for the 2D image, training a neural radiance field (NeRF) model, using the set of 2D images and the set of camera angles and camera positions as a training dataset, to obtain a trained NeRF model, generating a set of 2D depth maps based on the trained NeRF model, and generating a 3D polygonal mesh representing at least one object of one or more objects in the scene based on the set of 2D depth maps.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software.
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
Systems and methods are provided for implementing an improve mapping process to help identify disparate information associated with a software application in separately stored files. In this way, the information may remain separate and distinct, often times assigned to different teams, devices, and locations, and still be used to create a software application from the disparate information. For example, the system can generate a graph that comprises nodes that identify various information/functions from disparate data sources and edges that identify relationships between this information. Using the graph, the system may receive a query from a user device and generate a response to the query, where the graph can help narrow the search space in determining the response to the query.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software. Entertainment services, namely, providing on-line computer games; entertainment services, namely, providing computer games accessed and played via mobile and cellular phones and other wireless devices; provision of information relating to electronic computer games provided via the Internet; organizing, conducting and operating video game competitions and tournaments; entertainment services in the nature of arranging of electronic sports and video game contests, games, tournaments and competition; entertainment services, namely, providing a website featuring non-downloadable videos featuring live video game tournaments played by video game players; Sporting and cultural activities.
49.
System for identifying visual anomalies and coding errors within a video game
A visual anomaly detection system can test a video game under test. The testing can involve applying captured video frames to a large language model using dynamically generated prompts. The captured video frames can be obtained directly from an output port of a user computing system enabling the video frames to be applied to the machine learning model without modification and with minimal to no user intervention. Additionally, the systems disclosed herein can control the user computing system hosting the video game under test enabling the test system to react to test results in real-time or near real-time (e.g., within milliseconds, while the video game is executing, before a next action is performed with respect to the video game, and the like) and to modify the testing process as tests are being performed.
A method of generating a three-dimensional (3D) model includes obtaining a set of two-dimensional (2D) images of a scene acquired by one or more cameras from a plurality of camera angles at a plurality of camera positions. Each 2D image corresponds to a respective camera angle and a respective camera position. The method further includes obtaining the respective camera angle and the respective camera position for each 2D image, and generating one or more semantic masks from the set of 2D images. Each semantic mask corresponds to a class of one or more objects in the scene. The method further includes training a neural radiance field (NeRF) model, using the set of 2D images and the one or more semantic masks as a training dataset, to obtain a trained NeRF model. The trained NeRF model is an implicit 3D model of the one or more objects in the scene.
G06T 17/00 - Modélisation tridimensionnelle [3D] pour infographie
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/70 - Étiquetage du contenu de scène, p. ex. en tirant des représentations syntaxiques ou sémantiques
A system may perform motion capture using motion capture targets with concave reflector structures. For example, the motion capture target include a target body and a plurality of tracking markers located on respective portions of the surface of the target body. At least one tracking marker of the plurality of tracking markers may be a concave reflector structure including a tapered hole in the surface of the target body and at least a portion of a surface of the tapered hole may be reflective.
A system may provide gameplay complexity assistance in gaming. The system operate, during gameplay of a game including a set of controls for a player of the game, a simulated player model to provide gameplay complexity assistance for the player including inputting a game state of the game to the simulated player model to cause the simulated player model to generate at least one simulated control corresponding to at least one control of the set of controls for the player and receiving the at least one simulated control input from the simulated player model. The system may then utilize, in the gameplay of the game, the at least one simulated control input from the simulated player model as a player input of the corresponding one of the set of controls of the player.
A63F 13/422 - Traitement des signaux de commande d’entrée des dispositifs de jeu vidéo, p. ex. les signaux générés par le joueur ou dérivés de l’environnement par mappage des signaux d’entrée en commandes de jeu, p. ex. mappage du déplacement d’un stylet sur un écran tactile en angle de braquage d’un véhicule virtuel mappage automatique pour assister le joueur, p. ex. freinage automatique dans un jeu de conduite automobile
53.
SYSTEMS AND METHODS FOR EYE MODELING AND IRIS TEXTURING
A method for generating a three-dimensional (3D) model of a head is disclosed. One or more images of the head are obtained and the head includes eyes. A parametric model for the eyes that includes a set of parameters is retrieved. Values are assigned for each parameter in the set of parameters of the parametric model for the eyes based on the one or more images. Eye patch areas of areas surrounding the eyes are generated based on the values of the parameters in the set of parameters of the parametric model for the eyes. The 3D model of the head that includes the eyes and the eye patch areas is generated. The eyes are normalized to be spaced a fixed distance apart from one another in the 3D model, and a size of the head in the 3D model is scaled based on the fixed distance between the eyes.
This specification describes a method for generating background audio in a video game. The method is implemented by one or more processors and the method comprises: obtaining, by one or more of the processors, text data comprising text for speech audio that is to be present in the background audio; obtaining, by one or more of the processors, contextual data comprising data descriptive of an environment in the video game; and generating, by one or more of the processors, the background audio based upon processing the text data and the contextual data using one or more machine learning models.
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la paroleSélection d'unités de reconnaissance
G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel
G10L 15/183 - Classement ou recherche de la parole utilisant une modélisation du langage naturel selon les contextes, p. ex. modèles de langage
This specification describes systems, methods and apparatus for generating computer game levels using machine learning. According to a first aspect of this specification, there is described a computer implemented method comprising: extracting, from a known computer game level in a training dataset of known computer game levels for a computer game, a set of level features; processing, using an encoder neural network model, the known computer game level to generate an embedding of the known computer game level; processing, using a decoder neural network model, the embedding of the known game level and the set of level features to generate data indicative of a candidate computer game level for the computer game; determining a value of an objective function based on the data indicative of the candidate computer game level; and updating parameters of the encoder model and/or decoder model based at least in part on the value of the objective function.
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
This specification describes a method for generating audio for a video game. The method is implemented by one or more processors. The method comprises: obtaining, by one or more of the processors, acoustic feature data comprising a value for one or more audio characteristics; selecting, by one or more of the processors, a first latent embedding from a codebook of latent embeddings based upon processing the acoustic feature data using an acoustic machine learning model; and generating, by one or more of the processors, an output audio sample based upon the selected first latent embedding.
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
G10L 19/00 - Techniques d'analyse ou de synthèse de la parole ou des signaux audio pour la réduction de la redondance, p. ex. dans les vocodeursCodage ou décodage de la parole ou des signaux audio utilisant les modèles source-filtre ou l’analyse psychoacoustique
G10L 19/032 - Quantification ou dé-quantification de composantes spectrales
57.
VIDEO GAME TESTING AND GAMEPLAY FEEDBACK USING EYE TRACKING
A device may as implemented by an interactive computing system configured with specific computer-executable instructions, capturing one or more image frames of a video game, receiving, from one or more sensors, eye tracking information associated with a user playing the video game, associating the eye tracking information with the one or more image frames, identifying at least a first frame based at least in part on the eye tracking information, identifying at least one feature of interest within the first frame based on the eye tracking information, and outputting an indication associated with the at least one feature of interest.
G06F 11/36 - Prévention d'erreurs par analyse, par débogage ou par test de logiciel
A63F 13/77 - Aspects de sécurité ou de gestion du jeu incluant les données relatives aux dispositifs ou aux serveurs de jeu, p. ex. données de configuration, version du logiciel ou quantité de mémoire
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
A gaming system may allow for a user to capture simulation state data of gameplay in a video game such that, upon occurrence of a cinematic rendering event, a cinematic rendered views of the gameplay may be rendered. Specifically, the gaming system may receive simulation state data and determine based thereon that a cinematic rendering event occurred. The gaming system may then receive previously stored simulation state data and render and output a plurality of cinematic rendered views based at least in part on a cinematic rendering timeline, the one or more simulation states of the simulation state data, and the one or more prior simulation states of the previously stored simulation state data. The cinematic rendering timeline may include a first shot and a second shot which include different configurations for rendering corresponding portions the plurality of cinematic rendered views.
A video game animation method comprises generating, for each of one or more entities to be animated, a position sequence for use in animating the movement of the entity along one or more paths in a virtual environment. The position sequence defines a position in the virtual environment at each of a plurality of time steps. Generating the position sequence comprises accessing one or more regions of position data, each region of position data comprising position data items for successive positions along a respective one of the one or more paths.
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
Systems and methods are provided for performing patch calculation and block scanning both a current/existing build and a target build at a server or other location that is remote from a client computing device, where patch calculations/generation is conventionally performed. Patch calculation may be performed using scan block sizes that are smaller than what is conventionally used, and is not limited files (source/target) having the same name. Additionally, adjacent blocks of data representative of binary resources may be concatenated, and block edges can be scanned to determine if still other data/resources could be used for the target build.
G06F 8/658 - Mises à jour par incrémentMises à jour différentielles
A63F 13/77 - Aspects de sécurité ou de gestion du jeu incluant les données relatives aux dispositifs ou aux serveurs de jeu, p. ex. données de configuration, version du logiciel ou quantité de mémoire
A method for matchmaking of game players includes receiving player data associated with a user account, receiving match state data associated with a match of the game, and based on the player data and the match state data, extracting engagement prediction features. The method further includes providing, as an input to an engagement prediction model, the engagement prediction features, and receiving, as an output from the engagement prediction model, a predicted engagement metric, the predicted engagement metric being based on the engagement prediction features. The method further includes providing the predicted engagement metric as an input to a matchmaking system and receiving from the matchmaking system a decision whether to match the user account to the match of the game for gameplay.
A63F 13/795 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour trouver d’autres joueursAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour constituer une équipeAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour fournir une "liste d’amis"
A63F 13/798 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour évaluer les compétences ou pour classer les joueurs, p. ex. pour créer un tableau d’honneur des joueurs
62.
GENERATIVE MODEL FOR CANONICAL AND LOCALIZED GAME CONTENT
The present disclosure provides a system for generating gameplay content by a generative modeling system. The system can generate gameplay content via one or more machine-learning models trained using game and player data. The system can add content generated by the one or more machine-learning models to the game and player data and retrain the models using the generated content. The system can also localize generated content based on player locations and language preferences.
A63F 13/79 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu
A63F 13/67 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu en s’adaptant à ou par apprentissage des actions de joueurs, p. ex. modification du niveau de compétences ou stockage de séquences de combats réussies en vue de leur réutilisation
The present disclosure provides a system for customizing virtual entities via a multi-track system. The system can generate a user interface that uses multiple tracks to manage and display virtual entities and virtual objects. The virtual entity can be in-line with a track, and virtual display objects can move along tracks that intersect with the virtual entity track. When a particular virtual display object intersects with the virtual entity track, a three-dimensional representation of an item associated with the particular virtual display object can be rendered with the virtual entity.
A63F 13/63 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu par le joueur, p. ex. avec un éditeur de niveaux
64.
FACILITATING COMMUNICATION BETWEEN COMPUTING PLATFORMS
Facilitating communication between computing platforms, including establishing, via a game agnostic communication service (GACS), communication with a first and a second computing platform; receiving i) first game state data associated with a first video game application executing at the first computing platform and ii) second game state data associated with a second video game application executing at the second computing platform; receiving a request to display at the first computing platform a first communication interface of the GACS; generating content for the first communication interface based at least in part on the first or the second game state data; causing to display the generated content via the first communication interface; receiving selection of one of the communication messages to transmit to the second computing platform; transmitting the selected communication message to the second computing platform for display via a second communication interface of the GACS at the second computing platform.
This specification provides a system comprising: or more computing devices; and one or more storage devices communicatively coupled to the one or more computing devices. The one or more storage devices store instructions that, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising: receiving input data derived from speech audio; generating facial animation data, comprising processing the input data and a conditioning input using a machine-learned generative model; generating further animation data, comprising processing the input data using a further machine-learned generative model; and generating animation data for at least a face in a video game using the facial animation data and the further animation data, wherein the animation data animates at least the face in the video game in accordance with speech sounds of the speech audio.
G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p. ex. d’êtres humains, d’animaux ou d’êtres virtuels
G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux
A system may provide for the converting pull-based program code into push-based program code. The system may receive source code comprising pull-based programming language instructions, wherein the pull-based programming language instructions comprise a plurality of nodes connected by a plurality of edges to form a directed graph and convert the source code into push-based programming language instructions at least in part by traversing the pull-based programming language instructions to determine one or more scopes of the directed graph including respective groups of one or more nodes of the plurality of nodes, the determining of the one or more scopes associated with one or more conditional nodes of the plurality of nodes and generating the push-based programming language instructions for the source code based on the one or more scopes of the directed graph.
A gaming device may provide for. The gaming device may receive video game execution data of a video game including data generated by instrumented code of the video game during execution of the video game, a rendered output of the video game during the execution of the video game, and telemetry data of the video game generated during the execution of the video game. The gaming device may then configure a ML model to at least one of detect or predict a type of events in the execution of the video game using at least the data generated by instrumented code, the rendered output of the video game, and the telemetry data as training data for the ML model.
The systems and processes described herein can provide dynamic and realistic route generation based on actual route data within the game environment. The system provides for generating a route database for use with a sports simulation game application. The present disclosure also provides for generation of routes during runtime of the game application. The route generation system can help address the problem of generating realistic and lifelike routes based on real life movements of athletes.
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
A63F 13/57 - Simulations de propriétés, de comportement ou de déplacement d’objets dans le jeu, p. ex. calcul de l’effort supporté par un pneu dans un jeu de course automobile
A63F 13/65 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu automatiquement par des dispositifs ou des serveurs de jeu, à partir de données provenant du monde réel, p. ex. les mesures en direct dans les compétitions de course réelles
A63F 13/812 - Jeux de ballon, p. ex. football ou baseball
69.
Deep learning system for data-driven skill estimation
Various aspects of the subject technology relate to systems, methods, and machine-readable media for determining player skill for video games. The method includes aggregating a plurality of player statistics for match outcomes from a plurality of video games. The method also includes calculating, for each player in a pool of players, a matchmaking rating for each player based on the plurality of player statistics, the matchmaking rating for each player comprising a predicted number of points each player will contribute to a match. The method also includes selecting, based on the matchmaking rating for each player, players from the pool of players. The method also includes matching the players based on the matchmaking rating for each player, a sum of the matchmaking ratings comprising a total predicted team score for the match.
A63F 13/798 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour évaluer les compétences ou pour classer les joueurs, p. ex. pour créer un tableau d’honneur des joueurs
A63F 13/795 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour trouver d’autres joueursAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour constituer une équipeAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour fournir une "liste d’amis"
A gaming system may allow for a user to capture and/or edit simulation state data of gameplay in a video game such that a replay of the gameplay may be rendered and/or shared. The gaming system may receive simulation state data and a request. The simulation state data may include simulation state(s) which include a model and pose state of an avatar corresponding to a player in a game simulation of a video game previously rendered as rendered view(s). The request may request a replay of the simulation state data with modification(s). The gaming system may modify the simulation state data to generate modified simulation state data and render, based on the modified simulation state data, replay view(s) that differ from the previously rendered view(s). The gaming system may then output the replay view(s) to a display of a computing device.
A63F 13/497 - Répétition partielle ou entière d'actions de jeu antérieures
A63F 13/525 - Changement des paramètres des caméras virtuelles
A63F 13/577 - Simulations de propriétés, de comportement ou de déplacement d’objets dans le jeu, p. ex. calcul de l’effort supporté par un pneu dans un jeu de course automobile utilisant la détermination de la zone de contact entre les personnages ou les objets du jeu, p. ex. pour éviter une collision entre des voitures de course virtuelles
71.
Systems and methods for handling bevels in mesh simplification
A method, device, and computer-readable storage medium for simplifying a mesh including bevels. The method includes: receiving a polygonal mesh representing a three-dimensional (3D) object; identifying a set of edges in the polygonal mesh as bevel edges; performing a mesh simplification operation on the polygonal mesh to generate a simplified mesh, wherein the mesh simplification operation removes at least one edge that includes a vertex that is of a bevel edge, and wherein two vertices in the polygonal mesh are collapsed to a collapse vertex in the simplified mesh; and updating stored normals of the collapse vertex based on copying stored normals of the two vertices removed from the polygonal mesh to the collapse vertex.
A method, device, and computer-readable storage medium for simplifying a convex hull are disclosed. A first queue of candidate vertices of a convex hull for vertex removal is generated, wherein the candidate vertices are sorted in the first queue by ascending values of a first cost metric associated with removal of the candidate vertex. A second queue of candidate faces of the convex hull for face removal is generated, wherein the candidate faces are sorted in the second queue by ascending values of a second cost metric associated with removal of the candidate face. A simplification operation is performed on the convex hull to generate a simplified version of the convex hull by performing a vertex removal operation on the candidate vertex in the first queue with lowest first cost metric or performing a face removal operation on the candidate face in the second queue with lowest second cost metric.
G06F 30/15 - Conception de véhicules, d’aéronefs ou d’embarcations
G06F 30/23 - Optimisation, vérification ou simulation de l’objet conçu utilisant les méthodes des éléments finis [MEF] ou les méthodes à différences finies [MDF]
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
77.
SYSTEM FOR GENERATING ANIMATION WITHIN A VIRTUAL ENVIRONMENT
The present disclosure discloses the use of machine learning to address the process of motion synthesis and generation of intermediate poses for virtual entities. A transformer-based model can be used to generate intermediate poses for an animation based on a set of key frames.
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
78.
System for generating animation within a virtual environment
The present disclosure discloses the use of machine learning to address the process of motion synthesis and generation of intermediate poses for virtual entities. A transformer-based model can be used to generate intermediate poses for an animation based on a set of key frames.
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
A63F 13/55 - Commande des personnages ou des objets du jeu en fonction de la progression du jeu
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
G06T 13/40 - Animation tridimensionnelle [3D] de personnages, p. ex. d’êtres humains, d’animaux ou d’êtres virtuels
79.
Systems and methods for adjusting online game content and access for multiple platforms
Embodiments of systems and methods for enabling access to an online game, modifying user progress within the online game, monitoring user interactions with the online game, or adjusting user gameplay with the online game, via multiple platforms. The multiple platforms may include virtual reality platforms and non-virtual reality platforms.
A63F 13/00 - Jeux vidéo, c.-à-d. jeux utilisant un affichage à plusieurs dimensions généré électroniquement
A63F 13/285 - Génération de signaux de retour tactiles via le dispositif d’entrée du jeu, p. ex. retour de force
A63F 13/73 - Autorisation des programmes ou des dispositifs de jeu, p. ex. vérification de l’authenticité
A63F 13/77 - Aspects de sécurité ou de gestion du jeu incluant les données relatives aux dispositifs ou aux serveurs de jeu, p. ex. données de configuration, version du logiciel ou quantité de mémoire
A63F 13/79 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
A63F 13/211 - Dispositions d'entrée pour les dispositifs de jeu vidéo caractérisées par leurs capteurs, leurs finalités ou leurs types utilisant des capteurs d’inertie, p. ex. des accéléromètres ou des gyroscopes
This specification describes a method for testing a user interface of a video game, the method implemented by one or more processors, the method comprising: obtaining, by one or more of the processors, a screenshot of the video game; processing, by one or more of the processors, the screenshot of the video game to detect one or more user interface elements; and performing, by one or more of the processors, one or more actions in the video game based upon the detected one or more user interface elements for testing the user interface of the video game.
G06F 11/36 - Prévention d'erreurs par analyse, par débogage ou par test de logiciel
A63F 13/533 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir pour inciter une interaction avec le joueur, p. ex. en affichant le menu d’un jeu
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
81.
Expressive speech audio generation for video games
This specification describes a computer-implemented method of training a machine-learned speech audio generation system to generate predicted acoustic features for generated speech audio for use in a video game. The training comprises receiving one or more training examples. Each training example comprises: (i) ground-truth acoustic features for speech audio, (ii) speech content data representing speech content of the speech audio, and (iii) speech expression data representing speech expression of the speech audio. Parameters of the machine-learned speech audio generation system are updated by: (i) minimizing a measure of difference between the predicted acoustic features for a training example and the corresponding ground-truth acoustic features of the training example, and (ii) minimizing a measure of difference between the predicted prosodic features for the training example and the corresponding ground-truth prosodic features for the training example.
G10L 13/00 - Synthèse de la paroleSystèmes de synthèse de la parole à partir de texte
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
The systems and methods described herein provide for an automated photosensitivity detection system (PDS) configured to automatically execute processes for flash detection and pattern detection of a video. PDS outputs an analysis result for each type of pattern detection analysis for the video. The PDS can execute each type of pattern detection analysis independently of the other pattern detection processes. Each pattern detection process is a distinct process that can be calculated without reference to the other processes. The final analysis result can aggregate the results of each detection process executed by the PDS.
G06T 7/136 - DécoupageDétection de bords impliquant un seuillage
G06T 7/37 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés de transformation de domaine
83.
SYSTEM AND METHODS FOR AUTOMATED PHOTOSENSITIVITY DETECTION
The systems and methods described herein provide for an automated photosensitivity detection system (PDS) configured to automatically execute processes for flash detection and pattern detection of a video. PDS outputs an analysis result for each type of pattern detection analysis for the video. The PDS can execute each type of pattern detection analysis independently of the other pattern detection processes. Each pattern detection process is a distinct process that can be calculated without reference to the other processes. The final analysis result can aggregate the results of each detection process executed by the PDS.
G06T 7/136 - DécoupageDétection de bords impliquant un seuillage
G06T 7/37 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés de transformation de domaine
G06T 7/90 - Détermination de caractéristiques de couleur
84.
Awareness-based non-player character decision techniques
A gaming system may provide for interactable environment geometry (IEG) detection. The gaming system may determine a sensory perspective of a sense of a non-player character (NPC) in a virtual environment of a game simulation, generate perception data of the NPC from the sensory perspective of the sense, input the perception data of the NPC into a detection model associated with the sense and receive, from the detection model, detection data for a detected item. The gaming system may then generate an awareness-based character decision for the NPC based on the detection data of the detected item.
A63F 13/67 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu en s’adaptant à ou par apprentissage des actions de joueurs, p. ex. modification du niveau de compétences ou stockage de séquences de combats réussies en vue de leur réutilisation
A63F 13/812 - Jeux de ballon, p. ex. football ou baseball
This specification describes a computer-implemented method of generating context-dependent speech audio in a video game. The method comprises obtaining contextual information relating to a state of the video game. The contextual information is inputted into a prosody prediction module. The prosody prediction module comprises a trained machine learning model which is configured to generate predicted prosodic features based on the contextual information. Input data comprising the predicted prosodic features and speech content data associated with the state of the video game is inputted into a speech audio generation module. An encoded representation of the speech content data dependent on the predicted prosodic features is generated using one or more encoders of the speech audio generation module. Context-dependent speech audio is generated, based on the encoded representation, using a decoder of the speech audio generation module.
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole
G10L 19/04 - Techniques d'analyse ou de synthèse de la parole ou des signaux audio pour la réduction de la redondance, p. ex. dans les vocodeursCodage ou décodage de la parole ou des signaux audio utilisant les modèles source-filtre ou l’analyse psychoacoustique utilisant des techniques de prédiction
G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux
G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
86.
SYSTEM FOR RENDERING SKIN TONE WITHIN A GAME APPLICATION ENVIRONMENT
The present disclosure provides a system for rendering skin tones of virtual entities using dynamic lighting systems within the virtual environment. The dynamic lighting system can be used to modify parameters of light sources within a game environment to increase the range of renderable skin tones of a virtual entity.
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software for identifying, monitoring, and reporting cheating in video games; downloadable computer software for ensuring compliance and integrity in video games; downloadable computer software for monitoring and analyzing video game play; downloadable computer software for monitoring and analyzing computer systems; downloadable computer software for monitoring and analyzing video game systems; downloadable computer software for monitoring and managing a gaming community to prevent cheating; downloadable computer software for preventing cheating in video games; downloadable computer software for preventing video game players from utilizing cheat codes; downloadable computer software for preventing video game players from obtaining an unfair advantage by using third-party tools; downloadable computer software for preventing video game players from using unauthorized third-party tools; downloadable anti-cheat game software; downloadable computer software for detecting, eradicating and preventing computer viruses; downloadable computer software for ensuring the security of software applications, games, and video and audio files; downloadable computer software packages for ensuring the security of software applications, games, and video and music files; downloadable computer software for game security and to prevent hacking; downloadable computer software for protecting video and computer games from security breaches Providing temporary use of non-downloadable computer software for identifying, monitoring, and reporting cheating in video games; providing temporary use of non-downloadable computer software for ensuring compliance and integrity in video games; providing temporary use of non-downloadable computer software for monitoring and analyzing video game play; providing temporary use of non-downloadable computer software for monitoring and analyzing computer systems; providing temporary use of non-downloadable computer software for monitoring and analyzing video game systems; providing temporary use of non-downloadable computer software for monitoring and managing a gaming community to prevent cheating; providing temporary use of non-downloadable computer software for preventing cheating in video games; providing temporary use of non-downloadable computer software for preventing video game players from utilizing cheat codes; providing temporary use of non-downloadable computer software for preventing video game players from obtaining an unfair advantage by using third-party tools; providing temporary use of non-downloadable computer software for preventing video game players from using unauthorized third-party tools; providing temporary use of non-downloadable anti-cheat game software; providing temporary use of non-downloadable computer software for detecting, eradicating and preventing computer viruses; providing temporary use of non-downloadable computer software for ensuring the security of software applications, games, and video and audio files; providing temporary use of non-downloadable computer software packages for ensuring the security of software applications, games, and video and music files; providing temporary use of non-downloadable computer software for game security and to prevent hacking; providing temporary use of non-downloadable computer software for protecting video and computer games from security breaches
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Downloadable computer game software; recorded computer game software; downloadable computer game software via a global computer network and wireless devices; downloadable video game software; recorded video game software Entertainment services, namely, providing an online computer game; provision of information relating to electronic computer games provided via the Internet
89.
Enhanced system for generation and optimization of facial models and animation
Systems and methods are provided for enhanced animation generation based on generative modeling. An example method includes training models based on faces and information associated with persons. The modeling system being trained to reconstruct expressions, textures, and models of persons.
G06T 13/80 - Animation bidimensionnelle [2D], p. ex. utilisant des motifs graphiques programmables
G06T 3/4053 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement basé sur la super-résolution, c.-à-d. où la résolution de l’image obtenue est plus élevée que la résolution du capteur
G06T 19/20 - Édition d'images tridimensionnelles [3D], p. ex. modification de formes ou de couleurs, alignement d'objets ou positionnements de parties
90.
CONTEXTUALLY AWARE COMMUNICATIONS SYSTEM IN VIDEO GAMES
In response to receiving user input command for sending a contextually aware communication, a computer system is configured to use game state data to determine a target location that a player is focusing on in a virtual environment in a video game, identify a unit that the player likely wants to communicate about based on at least priorities of unit types and proximities of units to the target location, and select a communication action for performance. Different communication actions can be performed in response to the same user input command when the game state data indicates different game states.
A63F 13/5372 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir utilisant des indicateurs, p. ex. en montrant l’état physique d’un personnage de jeu sur l’écran pour marquer les personnages, les objets ou les lieux dans la scène de jeu, p. ex. en affichant un cercle autour du personnage commandé par le joueur
A63F 13/23 - Dispositions d'entrée pour les dispositifs de jeu vidéo pour l'interfaçage avec le dispositif de jeu, p. ex. des interfaces spécifiques entre la manette et la console de jeu
A63F 13/5378 - Commande des signaux de sortie en fonction de la progression du jeu incluant des informations visuelles supplémentaires fournies à la scène de jeu, p. ex. en surimpression pour simuler un affichage tête haute [HUD] ou pour afficher une visée laser dans un jeu de tir utilisant des indicateurs, p. ex. en montrant l’état physique d’un personnage de jeu sur l’écran pour afficher une vue supplémentaire du dessus, p. ex. écrans radar ou cartes
91.
Skin microstructure texture filtering for runtime facial animations
A method of skin microstructure texture filtering for facial animation includes obtaining a plurality of one-dimensional (1D) filtered tiles corresponding to a plurality of filter axis angles and a plurality of filter parameters applied to a neutral tile, and at runtime, for each pixel representing a region of human skin, determining a principal direction of deformation, a principal filter parameter corresponding to the principal direction of deformation, and a secondary filter parameter corresponding to a secondary direction of deformation orthogonal to the principal direction of deformation, and selecting a first 1D filtered tile among the plurality of 1D filtered tiles, the first 1D filter tile corresponding to the secondary direction of deformation and the secondary filter parameter, and generating a respective two-dimensional (2D) filtered tile by convolving the first 1D filtered tile with a second 1D filter kernel corresponding to the principal direction of deformation and the principal filter parameter.
A system is disclosed that is able to combine motion capture data with volumetric capture data to capture player style information for a player. This player style information or player style data may be used to modify animation models used by a video game to create a more realistic look and feel for a player being emulated by the video game. This more realistic look and feel can enable the game to replicate play style of a player. For example, one soccer player may run with his elbows closer to his body and his forearm may swing across his torso. While another soccer player who is perhaps more muscular may run with his elbows and arms further from his body and his forearms may not cross in front of his torso when running.
A63F 13/56 - Calcul des mouvements des personnages du jeu relativement à d’autres personnages du jeu, à d’autres objets ou d'autres éléments de la scène du jeu, p. ex. pour simuler le comportement d’un groupe de soldats virtuels ou pour l’orientation d’un personnage
A63F 13/52 - Commande des signaux de sortie en fonction de la progression du jeu incluant des aspects de la scène de jeu affichée
The disclosure provides a video playback system for use within a game application and/or other interactive computing environments. The video playback system can be used to capture gameplay during execution of a game application. The captured gameplay video can be processed and stored within the game application or in a network accessible location.
A63F 13/86 - Regarder des jeux joués par d’autres joueurs
A63F 13/20 - Dispositions d'entrée pour les dispositifs de jeu vidéo
A63F 13/25 - Dispositions de sortie pour les dispositifs de jeu vidéo
A63F 13/30 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu
A63F 13/32 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu utilisant des connexions de réseau local [LAN]
A63F 13/33 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu utilisant des connexions de réseau étendu [WAN]
A63F 13/332 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu utilisant des connexions de réseau étendu [WAN] utilisant des réseaux sans fil, p. ex. les réseaux téléphoniques cellulaires
A63F 13/335 - Dispositions d’interconnexion entre des serveurs et des dispositifs de jeuDispositions d’interconnexion entre des dispositifs de jeuDispositions d’interconnexion entre des serveurs de jeu utilisant des connexions de réseau étendu [WAN] utilisant l’Internet
This specification describes a computer-implemented method of training a machine-learned speech audio generation system for use in video games. The training comprises: receiving one or more training examples. Each training example comprises: (i) ground-truth acoustic features for speech audio, (ii) speech content data representing speech content of the speech audio, and (iii) a ground-truth speaker identifier for a speaker of the speech audio. Parameters of the machine-learned speech audio generation system are updated to: (i) minimize a measure of difference between the predicted acoustic features of a training example and the corresponding ground-truth acoustic features of the training example, (ii) maximize a measure of difference between the first speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example, and (iii) minimize a measure of difference between the second speaker classification for the training example and the corresponding ground-truth speaker identifier of the training example.
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole
G10L 17/04 - Entraînement, enrôlement ou construction de modèle
This specification described systems, methods, and apparatus for policy models for selecting an action in a game environment based on persona data, as well as the use of said models. According to one aspect of this specification, there is described a computer implemented method of controlling an agent in an environment, the method comprising: for a plurality of timesteps in a sequence of timesteps: inputting, into a machine-learned policy model, input data comprising a current state of the environment and an auxiliary input, the auxiliary input indicating a target action style for the agent; processing, by the machine-learned policy model, the input data to select an action for a current timestep; performing, by the agent in the environment, the selected action; and determining, subsequent to the selected action being performed, an update to the current state of the environment.
Various aspects of the subject technology relate to systems, methods, and machine-readable media for preventing rendering of a character in a video game. The method includes receiving an action regarding a first character rendered in a first-person point of view (POV), wherein the POV of the first character is changed from the first-person POV to a third-person POV. The method includes detecting a change in the POV of the first character. The method includes determining characters are outside the first character field of view (FOV) in the first-person POV and would be within the FOV of the first character in the third-person POV. The method includes changing the POV of the first character from the first-person POV to a third person POV. The method includes causing rendering of the video game in a third-person POV of the first character, the rendering preventing rendering of other characters.
An imitation learning system may learn how to play a video game based on user interactions by a tester or other user of the video game. The imitation learning system may develop an imitation learning model based, at least in part, on the tester's interaction with the video game and the corresponding state of the video game to determine or predict actions that may be performed when interacting with the video game. The imitation learning system may use the imitation learning model to control automated agents that can play additional instances of the video game. Further, as the user continues to interact with the video game during testing, the imitation learning model may continue to be updated. Thus, the interactions by the automated agents with the video game may, over time, almost mimic the interaction by the user enabling multiple tests of the video game to be performed simultaneously.
A63F 13/60 - Création ou modification du contenu du jeu avant ou pendant l’exécution du programme de jeu, p. ex. au moyen d’outils spécialement adaptés au développement du jeu ou d’un éditeur de niveau intégré au jeu
G06F 11/36 - Prévention d'erreurs par analyse, par débogage ou par test de logiciel
G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif
Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating insights for video games. The method includes gathering information regarding a player for a plurality of video games, the information comprising at least one of in-world state data, player action data, player progression data, and/or real-world events relevant to each video game. The method also includes tracking events in at least one video game of the plurality of video games, the events comprising an action event or a standby event. The method also includes determining that an event of the tracked events is an action event. The method also includes generating insights regarding the action event based on the information gathered regarding the player, the insights for improving the player's performance in the video game. The method also includes relaying the insights to the player to improve the player's performance in the video game.
A63F 13/58 - Commande des personnages ou des objets du jeu en fonction de la progression du jeu en calculant l’état des personnages du jeu, p. ex. niveau de vigueur, de force, de motivation ou d’énergie
A63F 13/215 - Dispositions d'entrée pour les dispositifs de jeu vidéo caractérisées par leurs capteurs, leurs finalités ou leurs types comprenant des moyens de détection des signaux acoustiques, p. ex. utilisant un microphone
A63F 13/424 - Traitement des signaux de commande d’entrée des dispositifs de jeu vidéo, p. ex. les signaux générés par le joueur ou dérivés de l’environnement par mappage des signaux d’entrée en commandes de jeu, p. ex. mappage du déplacement d’un stylet sur un écran tactile en angle de braquage d’un véhicule virtuel incluant des signaux d’entrée acoustiques, p. ex. en utilisant les résultats d’extraction de hauteur tonale ou de rythme ou de reconnaissance vocale
A63F 13/795 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour trouver d’autres joueursAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour constituer une équipeAspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour fournir une "liste d’amis"
A63F 13/798 - Aspects de sécurité ou de gestion du jeu incluant des données sur les joueurs, p. ex. leurs identités, leurs comptes, leurs préférences ou leurs historiques de jeu pour évaluer les compétences ou pour classer les joueurs, p. ex. pour créer un tableau d’honneur des joueurs
This specification describes a computing system for generating visual assets for video games. The computing system comprises an image segmentation model, a first 3D generation model, and a second 3D generation model. At least one of the first 3D generation model and the second 3D generation model comprises a machine-learning model. The system is configured to obtain: (i) a plurality of images corresponding to the visual asset, each image showing a different view of an object to be generated in the visual asset, and (ii) orientation data for each image that specifies an orientation of the object in the image. A segmented image is generated for each image. This comprises processing the image using the image segmentation model to segment distinct portions of the image into one or more classes of a predefined set of classes. For each image, 3D shape data is generated for a portion of the object displayed in the image. This comprises processing the segmented image of the image, the orientation data of the image, and style data for the visual asset using the first 3D generation model. 3D shape data is generated for the visual asset. This comprises processing the generated 3D shape data of each image using the second 3D generation model.
Various aspects of the subject technology relate to systems, methods, and machine-readable media for rendering audio via a game engine for a game. Various aspects may include determining sound source reverb metrics and listener reverb metrics. Aspects may include determining reverbs within a reverb possibility space for all rooms or spaces of the game rendered by the game engine. Aspects may also include determining sound tuning parameters describing reverb attenuation over distance. Aspects may include calculating acoustic parameters based on the reverb metrics, relative positions, and sound tuning parameters. Aspects may include rendering audio according to a fit of determined reverbs to the acoustic parameters.
A63F 13/54 - Commande des signaux de sortie en fonction de la progression du jeu incluant des signaux acoustiques, p. ex. pour simuler le bruit d’un moteur en fonction des tours par minute [RPM] dans un jeu de conduite ou la réverbération contre un mur virtuel
H04S 7/00 - Dispositions pour l'indicationDispositions pour la commande, p. ex. pour la commande de l'équilibrage
