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    Systems for generating digital objects to animate sketches
    3.
    发明授权
    Systems for generating digital objects to animate sketches 有权

    公开(公告)号：US11776189B2

    公开(公告)日：2023-10-03

    申请号：US17507983

    申请日：2021-10-22

    Applicant: Adobe Inc.

    Inventor： Zeyu Wang ,  Yangtuanfeng Wang

    IPC: G06T13/40 ,  G06F18/214 ,  G06N3/045

    CPC classification number: G06T13/40 ,  G06F18/214 ,  G06N3/045

    Abstract: In implementations of systems for generating digital objects to animate sketches, a computing device implements a sketch system to receive input data describing a user sketched digital object having a pose and a non-photorealistic style. The sketch system generates a latent vector representation of the user defined non-photorealistic style using an encoder of a generative adversarial network. A digital object is generated having the pose and a non-photorealistic style using a generator of the generative adversarial network based on the latent vector representation of the user defined non-photorealistic style. The sketch system modifies the latent vector representation of the user defined non-photorealistic style based on a comparison between the user defined non-photorealistic style and the non-photorealistic style.

    CREATING CINEMAGRAPHS FROM A SINGLE IMAGE
    4.
    发明申请
    CREATING CINEMAGRAPHS FROM A SINGLE IMAGE 有权

    公开(公告)号：US20240404155A1

    公开(公告)日：2024-12-05

    申请号：US18325645

    申请日：2023-05-30

    Applicant: Adobe Inc.

    Inventor： Duygu Ceylan Aksit ,  Hugo Bertiche Argila ,  Niloy Jyoti Mitra ,  Kuldeep Kulkarni ,  Chun Hao Huang ,  Yangtuanfeng Wang

    IPC: G06T13/00 ,  G06N3/045 ,  G06T11/60

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilizes neural networks to generate cinemagraphs from single RGB images. For example, the cyclic animation system includes a cyclic animation neural network trained with synthetic data, wherein different wind effects can be replicated using physically based simulations to create cyclic videos more efficiently. More specifically, the cyclic animation system generalizes a solution by operating in the gradient domain and using surface normal maps. Because normal maps are invariant to appearance (color, texture, illumination, etc.), the gap between synthetic and real data distribution in the normal map space is smaller than in the RGB space. The cyclic animation system performs a reshading approach that synthesizes RGB pixels from the original image and the animated normal maps to create plausible changes to the real image to create the cinemagraph.

    Resolving garment collisions using neural networks
    5.
    发明授权
    Resolving garment collisions using neural networks 有权

    公开(公告)号：US11978144B2

    公开(公告)日：2024-05-07

    申请号：US17875081

    申请日：2022-07-27

    Applicant: Adobe Inc.

    Inventor： Yi Zhou ,  Yangtuanfeng Wang ,  Xin Sun ,  Qingyang Tan ,  Duygu Ceylan Aksit

    IPC: G06T17/30 ,  G06T13/40

    CPC classification number: G06T13/40 ,  G06T2210/16 ,  G06T2210/21

    Abstract: Embodiments are disclosed for using machine learning models to perform three-dimensional garment deformation due to character body motion with collision handling. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input, the input including character body shape parameters and character body pose parameters defining a character body, and garment parameters. The disclosed systems and methods further comprise generating, by a first neural network, a first set of garment vertices defining deformations of a garment with the character body based on the input. The disclosed systems and methods further comprise determining, by a second neural network, that the first set of garment vertices includes a second set of garment vertices penetrating the character body. The disclosed systems and methods further comprise modifying, by a third neural network, each garment vertex in the second set of garment vertices to positions outside the character body.

    Generating a modified digital image utilizing a human inpainting model
    7.
    发明授权
    Generating a modified digital image utilizing a human inpainting model 有权

    公开(公告)号：US12260530B2

    公开(公告)日：2025-03-25

    申请号：US18190544

    申请日：2023-03-27

    Applicant: Adobe Inc.

    Inventor： Krishna Kumar Singh ,  Yijun Li ,  Jingwan Lu ,  Duygu Ceylan Aksit ,  Yangtuanfeng Wang ,  Jimei Yang ,  Tobias Hinz ,  Qing Liu ,  Jianming Zhang ,  Zhe Lin

    IPC: G06T5/00 ,  G06T5/77 ,  G06V10/25 ,  G06V10/44 ,  G06V10/82

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

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