Neural rerendering from 3D models

    公开(公告)号:US11288857B2

    公开(公告)日:2022-03-29

    申请号:US16837612

    申请日:2020-04-01

    申请人: Google LLC

    摘要: According to an aspect, a method for neural rerendering includes obtaining a three-dimensional (3D) model representing a scene of a physical space, where the 3D model is constructed from a collection of input images, rendering an image data buffer from the 3D model according to a viewpoint, where the image data buffer represents a reconstructed image from the 3D model, receiving, by a neural rerendering network, the image data buffer, receiving, by the neural rerendering network, an appearance code representing an appearance condition, and transforming, by the neural rerendering network, the image data buffer into a rerendered image with the viewpoint of the image data buffer and the appearance condition specified by the appearance code.

    Non-rigid alignment for volumetric performance capture

    公开(公告)号:US10937182B2

    公开(公告)日:2021-03-02

    申请号:US15994471

    申请日:2018-05-31

    申请人: Google LLC

    摘要: An electronic device estimates a pose of one or more subjects in an environment based on estimating a correspondence between a data volume containing a data mesh based on a current frame captured by a depth camera and a reference volume containing a plurality of fused prior data frames based on spectral embedding and performing bidirectional non-rigid matching between the reference volume and the current data frame to refine the correspondence so as to support location-based functionality. The electronic device predicts correspondences between the data volume and the reference volume based on spectral embedding. The correspondences provide constraints that accelerate the convergence between the data volume and the reference volume. By tracking changes between the current data mesh frame and the reference volume, the electronic device avoids tracking failures that can occur when relying solely on a previous data mesh frame.

    NEURAL RERENDERING FROM 3D MODELS
    6.
    发明申请

    公开(公告)号:US20200320777A1

    公开(公告)日:2020-10-08

    申请号:US16837612

    申请日:2020-04-01

    申请人: Google LLC

    IPC分类号: G06T15/20 G06T7/174 G06N3/08

    摘要: According to an aspect, a method for neural rerendering includes obtaining a three-dimensional (3D) model representing a scene of a physical space, where the 3D model is constructed from a collection of input images, rendering an image data buffer from the 3D model according to a viewpoint, where the image data buffer represents a reconstructed image from the 3D model, receiving, by a neural rerendering network, the image data buffer, receiving, by the neural rerendering network, an appearance code representing an appearance condition, and transforming, by the neural rerendering network, the image data buffer into a rerendered image with the viewpoint of the image data buffer and the appearance condition specified by the appearance code.