MILO: Multi-Bounce Inverse Rendering for Indoor Scene With Light-Emitting Objects-Reference-Cited by-同舟云学术

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MILO: Multi-Bounce Inverse Rendering for Indoor Scene With Light-Emitting Objects

Published:2023-08 Issue:8 Volume:45 Page:10129-10142
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Yu Bohan¹^ORCID,Yang Siqi²,Cui Xuanning³^ORCID,Dong Siyan⁴,Chen Baoquan⁵,Shi Boxin¹^ORCID

Affiliation:

1. National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China

2. Institute for Artificial Intelligence, Peking University, Beijing, China

3. AI Innovation Center, School of Computer Science, Peking University, Beijing, China

4. Interdisciplinary Research Center, Shandong University, Jinan, Shandong, China

5. School of Intelligence Science and Technology, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Collaborative Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10169863/10043749.pdf?arnumber=10043749

Reference55 articles.

1. Scope of validity of PSNR in image/video quality assessment

2. Mitsuba renderer;wenzel,2010

3. Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

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