Patent ID: 11880927
Assignee: NVIDIA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for training a neural network model to construct a three-dimensional (3D) representation of an object from images of the object captured from different camera poses, comprising:
mapping pixels from a first image of the images to a texture space according to a first texture flow to produce a first texture image, wherein transfer of the first texture image onto a first 3D shape representation constructs a first 3D object corresponding to the object in the first image;
mapping pixels from a second image of the images to the texture space according to a second texture flow to produce a second texture image, wherein transfer of the second texture image onto a second 3D shape representation constructs a second 3D object corresponding to the object in the second image;
evaluating a loss function based on swapping the first texture image and the second texture image to combine the second texture image with the first 3D shape representation and combine the first texture image with the second 3D shape representation; and
updating parameters of the neural network model based on the loss function to encourage consistency between the first texture image and the second texture image.