Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches-Reference-Cited by-同舟云学术

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Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Lin Xin¹,Ren Chao¹,Liu Xiao¹,Huang Jie¹,Lei Yinjie¹

Affiliation:

1. Sichuan University

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377316.pdf?arnumber=10377316

Reference51 articles.

1. A High-Quality Denoising Dataset for Smartphone Cameras

2. Real Image Denoising With Feature Attention

3. Real Image Denoising With Feature Attention

4. Unprocessing Images for Learned Raw Denoising

5. A Non-Local Algorithm for Image Denoising

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SGDFormer: One-stage transformer-based architecture for cross-spectral stereo image guided denoising;Information Fusion;2025-01

2. TSID-Net: a two-stage single image dehazing framework with style transfer and contrastive knowledge transfer;The Visual Computer;2024-06-07

3. UM‐GAN: Underground mine GAN for underground mine low‐light image enhancement;IET Image Processing;2024-04-08

4. Single Image Denoising via a New Lightweight Learning-Based Model;IEEE Access;2024

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