Recurrent Self-Supervised Video Denoising with Denser Receptive Field-Reference-Cited by-同舟云学术

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Wang Zichun¹^ORCID,Zhang Yulun²^ORCID,Zhang Debing³^ORCID,Fu Ying¹^ORCID

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. ETH Zurich, Zurich, Switzerland

3. Xiaohongshu Inc, Beijing, China

Funder

National Natural Science Foundation of China

R&D Program of Beijing Municipal Education Commission

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612228

Reference63 articles.

1. Abdelrahman Abdelhamed Stephen Lin and Michael S Brown. 2018. A high-quality denoising dataset for smartphone cameras. In CVPR. 1692--1700. Abdelrahman Abdelhamed Stephen Lin and Michael S Brown. 2018. A high-quality denoising dataset for smartphone cameras. In CVPR. 1692--1700.

2. Joshua Batson and Loic Royer. 2019. Noise2self: Blind denoising by self-supervision. In ICML. 524--533. Joshua Batson and Loic Royer. 2019. Noise2self: Blind denoising by self-supervision. In ICML. 524--533.

3. Antoni Buades Bartomeu Coll and J-M Morel. 2005. A non-local algorithm for image denoising. In CVPR. 60--65. Antoni Buades Bartomeu Coll and J-M Morel. 2005. A non-local algorithm for image denoising. In CVPR. 60--65.

4. Patch-based video denoising with optical flow estimation;Buades Antoni;IEEE TIP,2016

5. Kelvin CK Chan , Xintao Wang , Ke Yu , Chao Dong , and Chen Change Loy . 2021 . Basicvsr: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956. Kelvin CK Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy. 2021. Basicvsr: The search for essential components in video super-resolution and beyond. In CVPR. 4947--4956.