Title:
ACCELERATED NEURAL RADIANCE FIELDS FOR VIEW SYNTHESIS
Document Type and Number:
WIPO Patent Application WO/2022/198686
Kind Code:
A1
Abstract:
Described herein are systems, methods, and non-transitory computer-readable media configured to encode a radiance field of an object onto a machine learning model. A transformation matrix and a projection matrix with which to render an image of the object can be generated. Radiance values and volume density values associated with pixels of the image can be obtained through the machine learning model. The radiance values and the volume density values can be obtained based on position vectors and direction vectors associated with the pixels. Color associated with the pixels can be rendered based on a volume rendering technique. The volume rendering technique can include an application of a depth offset to a depth map associated with the object.
Inventors:
YU HUANGJIE (CN)
RAO CHAOLIN (CN)
WU MINYE (CN)
LOU XIN (CN)
ZHOU PINGQIANG (CN)
YU JINGYI (CN)
RAO CHAOLIN (CN)
WU MINYE (CN)
LOU XIN (CN)
ZHOU PINGQIANG (CN)
YU JINGYI (CN)
Application Number:
PCT/CN2021/083446
Publication Date:
September 29, 2022
Filing Date:
March 26, 2021
Export Citation:
Assignee:
UNIV SHANGHAI TECH (CN)
International Classes:
G06T15/60
Foreign References:
| US20070257913A1 | 2007-11-08 | |||
| CN107680073A | 2018-02-09 | |||
| CN111667571A | 2020-09-15 | |||
| CN101477702A | 2009-07-08 | |||
| US20090006052A1 | 2009-01-01 |
Attorney, Agent or Firm:
SHANGHAI SAVVY INTELLECTUAL PROPERTY AGENCY (CN)
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