Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2204-2209

Indoor inverse rendering from video based on inter-frame coherence self-supervision

Zhang Zhenfeng
Li Yanan
Chen Yifan
Huang Chuhua
State Key Laboratory of Public Big Data, College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0529

Abstract

This paper proposed a self-supervised training method based on inter-frame consistency to solve the problem that the current inverse rendering supervised learning method is challenging to obtain labels and has poor generalization ability. Due to the ill-posed nature of the inverse rendering problem, this paper introduced additional albedo consistency loss and cross-rendering loss to strengthen the self-supervised network, the main idea of which was to enforce inter-frame consistency constraints on image sequences with continuous illumination changes. The method performed image projection and warping between adjacent frames through pose maps and depth maps between image frames. This method established constraints between adjacent frames and used Siamese training to ensure photometric invariance consensus estimate. This paper used a fully convolutional neural network to recover geometry, reflectivity, and illumination from indoor video sequences. The method trained the self-supervised network using a collection of unlabeled consecutive frame images and incorporating a differentiable renderer, making the network learn in a self-supervised manner. Compared with other mainstream methods, quantitative and qualitative experimental results show that the proposed method performs better on multiple benchmarks.

Foundation Support

国家自然科学基金资助项目(62162007)
贵州省自然科学基金资助项目(黔科合基础［2019］1088)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0529
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Technology of Graphic & Image
Pages: 2204-2209
Serial Number: 1001-3695(2023)07-043-2204-06

Publish History

[2023-01-05] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

张振峰, 李亚男, 陈一帆, 等. 基于帧间一致性的自监督室内逆渲染 [J]. 计算机应用研究, 2023, 40 (7): 2204-2209. (Zhang Zhenfeng, Li Yanan, Chen Yifan, et al. Indoor inverse rendering from video based on inter-frame coherence self-supervision [J]. Application Research of Computers, 2023, 40 (7): 2204-2209. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)