Generative Interior Design in Video Games

    公开(公告)号:US20230061250A1

    公开(公告)日:2023-03-02

    申请号:US17463754

    申请日:2021-09-01

    Abstract: This specification describes a computer-implemented generative interior design method. The method comprises obtaining input data comprising boundary data. The boundary data defines a boundary of an interior region of a video game building. A floor plan for the interior region of the video game building is generated. This comprises processing the input data using a floor plan generator model. The floor plan divides the interior region into a plurality of interior spaces. A layout for at least one of the plurality of interior spaces defined by the floor plan is generated by a layout generator model comprising one or more graph neural networks. The layout represents a configuration of one or more objects to be placed in the interior region.

    ACCESSIBLE ANIMATION SELECTION AND STYLIZATION IN VIDEO GAMES

    公开(公告)号:US20240331262A1

    公开(公告)日:2024-10-03

    申请号:US18622780

    申请日:2024-03-29

    CPC classification number: G06T13/80 A63F13/55

    Abstract: An animation system is configured to accessibly curate selectable animations and/or stylized animations based in part on vocal audio data provided by a user during gameplay of a video game application. The vocal audio data is encoded by way of a machine learning model to produce and/or extract feature embeddings corresponding to the utterances among the vocal audio data. The feature embeddings are used in part to create a list of selectable animations and to create stylized animations that can be displayed to the user. In turn, the animation system enables users to use their voice to personalize their gameplay experience.

    Generating positions of map items for placement on a virtual map

    公开(公告)号:US11668581B2

    公开(公告)日:2023-06-06

    申请号:US17902290

    申请日:2022-09-02

    Abstract: This specification describes a system for generating positions of map items such as buildings, for placement on a virtual map. The system comprises: at least one processor; and a non-transitory computer-readable medium including executable instructions that when executed by the at least one processor cause the at least one processor to perform at least the following operations: receiving an input at a generator neural network trained for generating map item positions; generating, with the generator neural network, a probability of placing a map item for each subregion of a plurality of subregions of the region of the virtual map; and generating position data of map items for placement on the virtual map using the probability for each subregion. The input to the generator neural network comprises: map data comprising one or more channels of position information for at least a region of the virtual map, said one or more channels including at least one channel comprising road position information for the region; and a latent vector encoding a selection of a placement configuration.

    Generating Positions of Map Items for Placement on a Virtual Map

    公开(公告)号:US20210239490A1

    公开(公告)日:2021-08-05

    申请号:US16886634

    申请日:2020-05-28

    Abstract: This specification describes a system for generating positions of map items such as buildings, for placement on a virtual map. The system comprises: at least one processor; and a non-transitory computer-readable medium including executable instructions that when executed by the at least one processor cause the at least one processor to perform at least the following operations: receiving an input at a generator neural network trained for generating map item positions; generating, with the generator neural network, a probability of placing a map item for each subregion of a plurality of subregions of the region of the virtual map; and generating position data of map items for placement on the virtual map using the probability for each subregion. The input to the generator neural network comprises: map data comprising one or more channels of position information for at least a region of the virtual map, said one or more channels including at least one channel comprising road position information for the region; and a latent vector encoding a selection of a placement configuration.

    TERRAIN GENERATION AND POPULATION SYSTEM

    公开(公告)号:US20210027531A1

    公开(公告)日:2021-01-28

    申请号:US16521492

    申请日:2019-07-24

    Abstract: Embodiments of the systems and methods described herein provide a terrain generation and population system that can determine terrain population rules for terrain population objects and features when placing objects and features in a three dimensional virtual space. As such, the terrain generation and population system can generate realistic terrain for use in game. The terrain generation and population system can receive an image, such as a satellite image, and utilize artificial intelligence to perform image segmentation at the pixel level to segment features and/or objects in the image. The game terrain system can automatically detect and apply feature and object masks based on the identified features and/or objects from the image segmentation. The game terrain system can place the features and/or objects in corresponding masks in the three dimensional space according to the application of terrain population rules.

    Generative interior design in video games

    公开(公告)号:US12220640B2

    公开(公告)日:2025-02-11

    申请号:US17463754

    申请日:2021-09-01

    Abstract: This specification describes a computer-implemented generative interior design method. The method comprises obtaining input data comprising boundary data. The boundary data defines a boundary of an interior region of a video game building. A floor plan for the interior region of the video game building is generated. This comprises processing the input data using a floor plan generator model. The floor plan divides the interior region into a plurality of interior spaces. A layout for at least one of the plurality of interior spaces defined by the floor plan is generated by a layout generator model comprising one or more graph neural networks. The layout represents a configuration of one or more objects to be placed in the interior region.

    Style-controlled generation of visual assets for video games using machine learning

    公开(公告)号:US12136168B2

    公开(公告)日:2024-11-05

    申请号:US17463730

    申请日:2021-09-01

    Abstract: 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.

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