CFSNet: Toward a Controllable Feature Space for Image Restoration

CFSNet: Toward a Controllable Feature Space for Image Restoration

1 April 2019

Papers citing "CFSNet: Toward a Controllable Feature Space for Image Restoration"

11 / 11 papers shown

Title
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective Lingchen Sun Jiejing Liang Shuai Liu Hongwei Yong Lei Zhang 35 6 0 24 Dec 2023
Restore Anything Pipeline: Segment Anything Meets Image Restoration Jiaxi Jiang Christian Holz VLM 29 8 0 22 May 2023
Contrastive Monotonic Pixel-Level Modulation Kun Lu Rongpeng Li Honggang Zhang 42 3 0 23 Jul 2022
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution Xiaoyu Dong Naoto Yokoya Longguang Wang Tatsumi Uezato 47 18 0 19 Jul 2022
Structure-Preserving Image Super-Resolution Cheng Ma Yongming Rao Jiwen Lu Jie Zhou SupR 29 65 0 26 Sep 2021
Toward Interactive Modulation for Photo-Realistic Image Restoration Haoming Cai Jingwen He Qiao Yu Chao Dong GAN 21 18 0 07 May 2021
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution Gang Xu Jun Xu Zhen Li Liang Wang Xing Sun Ming-Ming Cheng SupR 65 92 0 21 Apr 2021
Structure-Preserving Super Resolution with Gradient Guidance Cheng Ma Yongming Rao Yean Cheng Ce Chen Jiwen Lu Jie Zhou SupR 18 298 0 29 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 309 10,391 0 12 Dec 2018
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution Yapeng Tian Yulun Zhang Y. Fu Chenliang Xu SupR 31 520 0 07 Dec 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 234 5,180 0 16 Sep 2016