Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

29 February 2024

Papers citing "Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts"

22 / 22 papers shown

Title
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes Shaohua Liu Junzhe Lu Zuoya Gu Jiajun Li Yue Deng 3DGS 102 2 0 31 Oct 2024
Implicit Diffusion Models for Continuous Super-Resolution Sicheng Gao Xuhui Liu Bo-Wen Zeng Sheng Xu Yanjing Li Xiaonan Luo Jianzhuang Liu Xiantong Zhen Baochang Zhang DiffM 87 224 0 29 Mar 2023
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution Jie Liang Huiyu Zeng Lei Zhang GAN OffRL 47 138 0 17 Mar 2022
On the Frequency Bias of Generative Models Katja Schwarz Yiyi Liao Andreas Geiger 59 78 0 03 Nov 2021
Noise Conditional Flow Model for Learning the Super-Resolution Space Younggeun Kim Donghee Son SupR 37 25 0 06 Jun 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution Dario Fuoli Luc Van Gool Radu Timofte 42 114 0 01 Jun 2021
A Two-Stage Attentive Network for Single Image Super-Resolution Jiqing Zhang Chengjiang Long Yuxin Wang Haiyin Piao Haiyang Mei Xin Yang Baocai Yin SupR 67 60 0 21 Apr 2021
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 81 272 0 23 Dec 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 65 360 0 25 Jun 2020
Image Quality Assessment: Unifying Structure and Texture Similarity Keyan Ding Kede Ma Shiqi Wang Eero P. Simoncelli 87 773 0 16 Apr 2020
Frequency Separation for Real-World Super-Resolution Manuel Fritsche Shuhang Gu Radu Timofte 53 225 0 18 Nov 2019
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution Xin Deng Ren Yang Mai Xu Pier Luigi Dragotti 43 74 0 09 Oct 2019
The relativistic discriminator: a key element missing from standard GAN Alexia Jolicoeur-Martineau GAN 40 971 0 02 Jul 2018
Maintaining Natural Image Statistics with the Contextual Loss Roey Mechrez Itamar Talmi Firas Shama Lihi Zelnik-Manor GAN 54 94 0 13 Mar 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 130 3,299 0 24 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 299 11,610 0 11 Jan 2018
The Perception-Distortion Tradeoff Yochai Blau T. Michaeli SupR 116 807 0 16 Nov 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 155 5,871 0 10 Jul 2017
Learning a No-Reference Quality Metric for Single-Image Super-Resolution Chao Ma Chih-Yuan Yang Xiaokang Yang Ming-Hsuan Yang SupR 31 509 0 18 Dec 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 231 10,646 0 15 Sep 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 189 10,202 0 27 Mar 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 96 6,164 0 14 Nov 2015