Generative adversarial network-based image super-resolution using
perceptual content losses

Generative adversarial network-based image super-resolution using perceptual content losses

13 September 2018

Jun-Hyuk Kim

Jun-Ho Choi

Papers citing "Generative adversarial network-based image super-resolution using perceptual content losses"

8 / 8 papers shown

Title
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models Xijun Wang Santiago López-Tapia Alice Lucas Xinyi Wu Rafael Molina Aggelos K. Katsaggelos GAN 26 0 0 15 Mar 2024
Conformer and Blind Noisy Students for Improved Image Quality Assessment Marcos V. Conde Maxime Burchi Radu Timofte DiffM 46 14 0 27 Apr 2022
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models Haoying Li Yifan Yang Meng Chang H. Feng Zhi-hai Xu Qi Li Yue-ting Chen DiffM 36 619 0 30 Apr 2021
Perceptual Image Quality Assessment with Transformers Manri Cheon Sung-Jun Yoon Byungyeon Kang Junwoo Lee ViT 28 111 0 30 Apr 2021
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution Yitong Yan Chuangchuang Liu Changyou Chen Xianfang Sun Longcun Jin Xiang Zhou GAN 33 51 0 25 Nov 2019
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking Yuan Zhou Xiaoting Du Yeda Zhang S. Kung SupR 27 1 0 04 Nov 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 24 1,419 0 16 Feb 2019
The 2018 PIRM Challenge on Perceptual Image Super-resolution Yochai Blau Roey Mechrez Radu Timofte T. Michaeli Lihi Zelnik-Manor SupR 36 457 0 20 Sep 2018