QUERY DEFORMATION FOR LANDMARK ANNOTATION CORRECTION

    公开(公告)号:US20250118102A1

    公开(公告)日:2025-04-10

    申请号:US18906575

    申请日:2024-10-04

    Abstract: One embodiment of the present invention sets forth a technique for performing landmark detection. The technique includes generating, via execution of a first machine learning model, a first set of displacements associated with a first set of query points on a canonical shape based on a first annotation style associated with the first set of query points. The technique also includes determining, via execution of a second machine learning model, a first set of landmarks on a first face depicted in a first image based on the first set of displacements. The technique further includes training the first machine learning model based on one or more losses associated with the first set of landmarks to generate a first trained machine learning model.

    GRAPH SIMULATION FOR FACIAL MICRO FEATURES WITH DYNAMIC ANIMATION

    公开(公告)号:US20240346733A1

    公开(公告)日:2024-10-17

    申请号:US18628602

    申请日:2024-04-05

    CPC classification number: G06T13/40 G06T15/04 G06T17/00

    Abstract: The present invention sets forth a technique for simulating wrinkles under dynamic facial expression. This technique includes sampling a plurality of nodes from a three-dimensional (3D) representation of a facial structure, wherein each node represents a pore in the facial structure. The technique also generates one or more edges, with each of the one or more edges connecting a node of the plurality of nodes to a different node selected from the plurality of nodes. The technique further generates a wrinkle graph comprising the plurality of nodes, the one or more edges, and a plurality of edge weights associated with the edges included in the wrinkle graph. The technique may also modify the 3D representation of the facial structure based on the wrinkle graph and one or more dynamic expressions associated with the 3D representation.

    LOCAL IDENTITY-AWARE FACIAL RIG GENERATION

    公开(公告)号:US20250037341A1

    公开(公告)日:2025-01-30

    申请号:US18786337

    申请日:2024-07-26

    Abstract: The present invention sets forth a technique for performing facial rig generation. The technique includes generating a blendshape model including a plurality of vertices, a plurality of meshes, and a plurality of patches. The technique also includes modifying one or more blendweight values associated with each of the plurality of patches based on a plurality of facial depictions included in a facial database and one or more sample depictions of a target character and generating an output facial rig model based on the blendshape model and the one or more modified blendweight values. The technique further includes generating one or more expressive depictions of the target character based at least on the output facial rig.

    RELIGHTABLE AND REANIMATABLE NEURAL HEADS

    公开(公告)号:US20250166273A1

    公开(公告)日:2025-05-22

    申请号:US18951325

    申请日:2024-11-18

    Abstract: The present invention sets forth techniques for generating an animation sequence. The techniques include receiving one or more three-dimensional (3D) input meshes, wherein each input mesh includes a representation of an object included in a 3D scene. The techniques also include receiving, for each of the 3D input meshes, a virtual camera position associated with the 3D input mesh and one or more virtual lighting positions associated with the 3D input mesh. The techniques further include generating, for each of the 3D input meshes and via a trained machine learning model, one or more rendered frames associated with the 3D input mesh, wherein each rendered frame includes a two-dimensional (2D) representation of the object as viewed from the virtual camera position and illuminated by one or more virtual lights located at the one or more virtual lighting positions, and generating an output animation sequence based on the rendered frames.

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