公开(公告)号：US20250029334A1

公开(公告)日：2025-01-23

申请号：US18356588

申请日：2023-07-21

Applicant: Nvidia Corporation

Inventor： Xingguang Yan ,  Or Perel ,  James Robert Lucas ,  Towaki Takikawa ,  Karsten Julian Kreis ,  Maria Shugrina ,  Sanja Fidler ,  Or Litany

IPC: G06T17/20 ,  G06T3/40

Abstract: Approaches presented herein provide systems and methods for generating three-dimensional (3D) objects using compressed data as an input. One or more models may learn from a hash table of latent features to map different features to a reconstruction domain, using a hash function as part of a learned process. A 3D shape for an object may be encoded to a multi-layered grid and represented by a series of embeddings, where given point within the grid may be interpolated based on the embeddings for a given layer of the multi-layered grid. A decoder may then be trained to use the embeddings to generate an output object.