公开(公告)号：US20250037353A1

公开(公告)日：2025-01-30

申请号：US18714862

申请日：2022-01-13

Applicant: Google LLC

Inventor： Wen-Sheng Chu ,  Dmitry Lagun ,  Ioannis Daras ,  Abhishek Kumar

IPC: G06T15/20 ,  G06N3/08

Abstract: Systems and methods for training a generative neural radiance field model can include geometric regularization. Geometric regularization can involve the utilization of reference geometry data and/or an output of a surface prediction model. The geometry regularization can train the generative neural radiance field model to mitigate artifact generation by limiting a distribution considered for color value prediction and density value prediction to a range associated with a realistic geometry range.