Neural Compression-Based Feature Learning for Video Restoration

17 March 2022

Papers citing "Neural Compression-Based Feature Learning for Video Restoration"

10 / 10 papers shown

Title
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance Junkai Fan Jiangwei Weng Kun Wang Yijun Yang J. Qian Jun Li Jian Yang 80 5 0 16 May 2024
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment Kelvin C. K. Chan Shangchen Zhou Xiangyu Xu Chen Change Loy 186 399 0 27 Apr 2021
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion Hang Dong Jin-shan Pan Lei Xiang Zhe Hu Xinyi Zhang Fei Wang Ming-Hsuan Yang 64 678 0 28 Apr 2020
M-LVC: Multiple Frames Prediction for Learned Video Compression Jianping Lin Dong Liu Houqiang Li Feng Wu 54 217 0 21 Apr 2020
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing Xiaohong Liu Yongrui Ma Zhihao Shi Jun Chen 91 742 0 08 Aug 2019
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation Matias Tassano J. Delon T. Veit 56 236 0 01 Jul 2019
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration Xing Liu Masanori Suganuma Zhun Sun Takayuki Okatani 58 204 0 21 Mar 2019
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 274 1,176 0 04 May 2018
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework Jie Chen Cheen-Hau Tan Junhui Hou Lap-Pui Chau He Li 65 155 0 28 Mar 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 159 5,871 0 10 Jul 2017