Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

13 June 2018

Papers citing "Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising"

9 / 9 papers shown

Title
A cross Transformer for image denoising Chunwei Tian Menghua Zheng Wangmeng Zuo Shichao Zhang Yanning Zhang Chia-Wen Lin ViT 24 73 0 16 Oct 2023
Masked Autoencoders as Image Processors Huiyu Duan Wei Shen Xiongkuo Min Danyang Tu Long Teng Jia Wang Guangtao Zhai ViT 38 11 0 30 Mar 2023
Efficient Long-Range Attention Network for Image Super-resolution Xindong Zhang Huiyu Zeng Shi Guo Lei Zhang ViT 19 277 0 13 Mar 2022
C2N: Practical Generative Noise Modeling for Real-World Denoising Geonwoon Jang Wooseok Lee Sanghyun Son Kyoung Mu Lee DiffM 30 78 0 19 Feb 2022
Improving Image Restoration by Revisiting Global Information Aggregation Xiaojie Chu Liangyu Chen Chengpeng Chen Xin Lu 25 88 0 08 Dec 2021
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang ViT 67 2,128 0 18 Nov 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Kaicheng Zhang Luc Van Gool Radu Timofte ViT 72 2,818 0 23 Aug 2021
COLA-Net: Collaborative Attention Network for Image Restoration Chong Mou Jian Zhang Xiaopeng Fan Hangfan Liu Ronggang Wang 20 74 0 10 Mar 2021
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders Hongyu Shen D. George Eliu A. Huerta Zhizhen Zhao 32 66 0 27 Nov 2017