Title:
METHODS AND SYSTEMS FOR TRAINING QUANTIZED NEURAL RADIANCE FIELD
Document Type and Number:
WIPO Patent Application WO/2022/198684
Kind Code:
A1
Abstract:
A computer-implemented method, comprising encoding a radiance field of an object onto a machine learning model; conducting, based on a set of training images of the object, a training process on the machine learning model to obtain a trained machine learning model, wherein the training process includes a first training process using a plurality of first test sample points followed by a second training process using a plurality of second test sample points located within a threshold distance from a surface region of the object; obtaining target view parameters indicating a view direction of the object; obtaining a plurality of rays associated with a target image of the object; obtaining render sample points on the plurality of rays associated with the target image; and rendering, by inputting the render sample points to the trained machine learning model, colors associated with the pixels of the target image.
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Inventors:
WU MINYE (CN)
RAO CHAOLIN (CN)
LOU XIN (CN)
ZHOU PINGQIANG (CN)
YU JINGYI (CN)
RAO CHAOLIN (CN)
LOU XIN (CN)
ZHOU PINGQIANG (CN)
YU JINGYI (CN)
Application Number:
PCT/CN2021/083444
Publication Date:
September 29, 2022
Filing Date:
March 26, 2021
Export Citation:
Assignee:
UNIV SHANGHAI TECHNOLOGY (CN)
International Classes:
G06T17/00
Foreign References:
| CN112504271A | 2021-03-16 |
Other References:
"arXiv.org", vol. 24, 1 January 1900, CORNELL UNIVERSITY LIBRARY,, 201 Olin Library Cornell University Ithaca, NY 14853, article MILDENHALL BEN; SRINIVASAN PRATUL P.; TANCIK MATTHEW; BARRON JONATHAN T.; RAMAMOORTHI RAVI; NG REN: "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis", pages: 405 - 421, XP047569510, DOI: 10.1007/978-3-030-58452-8_24
Attorney, Agent or Firm:
SHANGHAI SAVVY INTELLECTUAL PROPERTY AGENCY (CN)
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