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    NEURAL HEAD AVATAR CONSTRUCTION FROM AN IMAGE
    11.
    发明申请
    NEURAL HEAD AVATAR CONSTRUCTION FROM AN IMAGE 有权

    公开(公告)号：US20240404174A1

    公开(公告)日：2024-12-05

    申请号：US18653723

    申请日：2024-05-02

    Applicant: NVIDIA Corporation

    Inventor： Xueting Li ,  Shalini De Mello ,  Sifei Liu ,  Koki Nagano ,  Umar Iqbal ,  Jan Kautz

    IPC: G06T15/08 ,  G06T13/40 ,  G06V10/774 ,  G06V10/82 ,  G06V10/94 ,  G06V40/16

    Abstract: Systems and methods are disclosed that animate a source portrait image with motion (i.e., pose and expression) from a target image. In contrast to conventional systems, given an unseen single-view portrait image, an implicit three-dimensional (3D) head avatar is constructed that not only captures photo-realistic details within and beyond the face region, but also is readily available for animation without requiring further optimization during inference. In an embodiment, three processing branches of a system produce three tri-planes representing coarse 3D geometry for the head avatar, detailed appearance of a source image, as well as the expression of a target image. By applying volumetric rendering to a combination of the three tri-planes, an image of the desired identity, expression and pose is generated.

    PHYSICS-GUIDED MOTION DIFFUSION MODEL
    16.
    发明公开
    PHYSICS-GUIDED MOTION DIFFUSION MODEL 审中-公开

    公开(公告)号：US20240169636A1

    公开(公告)日：2024-05-23

    申请号：US18317378

    申请日：2023-05-15

    Applicant: NVIDIA Corporation

    Inventor： Ye Yuan ,  Jiaming Song ,  Umar Iqbal ,  Arash Vahdat ,  Jan Kautz

    IPC: G06T13/40 ,  G06T5/00 ,  G06T13/80

    CPC classification number: G06T13/40 ,  G06T5/002 ,  G06T13/80 ,  G06T2207/20081 ,  G06T2207/20084

    Abstract: Systems and methods are disclosed that improve performance of synthesized motion generated by a diffusion neural network model. A physics-guided motion diffusion model incorporates physical constraints into the diffusion process to model the complex dynamics induced by forces and contact. Specifically, a physics-based motion projection module uses motion imitation in a physics simulator to project the denoised motion of a diffusion step to a physically plausible motion. The projected motion is further used in the next diffusion iteration to guide the denoising diffusion process. The use of physical constraints in the physics-guided motion diffusion model iteratively pulls the motion toward a physically-plausible space, reducing artifacts such as floating, foot sliding, and ground penetration.

    PERFORMING OCCLUSION-AWARE GLOBAL 3D POSE AND SHAPE ESTIMATION OF ARTICULATED OBJECTS
    18.
    发明申请
    PERFORMING OCCLUSION-AWARE GLOBAL 3D POSE AND SHAPE ESTIMATION OF ARTICULATED OBJECTS 有权

    公开(公告)号：US20230070514A1

    公开(公告)日：2023-03-09

    申请号：US17584213

    申请日：2022-01-25

    Applicant: NVIDIA Corporation

    Inventor： Ye Yuan ,  Umar Iqbal ,  Pavlo Molchanov ,  Jan Kautz

    IPC: G06T19/20 ,  G06T7/20 ,  G06T7/00

    Abstract: In order to determine accurate three-dimensional (3D) models for objects within a video, the objects are first identified and tracked within the video, and a pose and shape are estimated for these tracked objects. A translation and global orientation are removed from the tracked objects to determine local motion for the objects, and motion infilling is performed to fill in any missing portions for the object within the video. A global trajectory is then determined for the objects within the video, and the infilled motion and global trajectory are then used to determine infilled global motion for the object within the video. This enables the accurate depiction of each object as a 3D pose sequence for that model that accounts for occlusions and global factors within the video.

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