Title:
NEURAL NETWORK-BASED OBJECT RECONSTRUCTION
Document Type and Number:
WIPO Patent Application WO/2024/007107
Kind Code:
A1
Abstract:
Apparatuses, systems, and techniques are presented to generate digital reconstructions of physical objects. In at least one embodiment, one or more first neural networks are used to generate a three-dimensional (3D) model having a first level of detail, and one or more second neural networks are used to modify the 3D model to have a second level of detail.
Inventors:
YU CHONG (CN)
Application Number:
PCT/CN2022/103608
Publication Date:
January 11, 2024
Filing Date:
July 04, 2022
Export Citation:
Assignee:
NVIDIA CORP (US)
International Classes:
G06T17/00; G06N3/04; G06T19/00
Foreign References:
| CN114549765A | 2022-05-27 | |||
| CN110060329A | 2019-07-26 | |||
| CN114119906A | 2022-03-01 | |||
| US20220067890A1 | 2022-03-03 |
Attorney, Agent or Firm:
P. C. & ASSOCIATES (CN)
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