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Existing super-resolution (SR) models primarily focus on restoring local texture details, often neglecting the global semantic information within the scene.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 1914
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Eigenface-domain super-resolution for face recognition
Bahadir K Gunturk, Aziz Umit Batur, Yucel Altunbasak, Monson H Hayes, and Russell M Mersereau · 2003
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
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To learn image super-resolution, use a gan to learn how to do image degradation first
Adrian Bulat, Jing Yang, and Georgios Tzimiropoulos · 2018
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Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, and Liang Lin · 2018
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Crossnet: An end-to-end reference-based super resolution network using cross-scale warping
Haitian Zheng, Mengqi Ji, Haoqian Wang, Yebin Liu, and Lu Fang · 2018
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Toward real-world single image super-resolution: A new benchmark and a new model
Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, and Lei Zhang · 2019
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Edgeconnect: Generative image inpainting with adversarial edge learning
Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z Qureshi, and Mehran Ebrahimi · 2019
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Image super-resolution by neural texture transfer
Zhifei Zhang, Zhaowen Wang, Zhe Lin, and Hairong Qi · 2019
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Identity-aware face super-resolution for low-resolution face recognition
Jin Chen, Jun Chen, Zheng Wang, Chao Liang, and Chia-Wen Lin · 2020
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Image quality assessment: Unifying structure and texture similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2020
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Image processing using multi-code gan prior
Jinjin Gu, Yujun Shen, and Bolei Zhou · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Real-world super-resolution via kernel estimation and noise injection
Xiaozhong Ji, Yun Cao, Ying Tai, Chengjie Wang, Jilin Li, and Feiyue Huang · 2020
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Unpaired image super-resolution using pseudo-supervision
Shunta Maeda · 2020
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Pulse: Self-supervised photo upsampling via latent space exploration of generative models
Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, and Cynthia Rudin · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Dual super-resolution learning for semantic segmentation
Li Wang, Dong Li, Yousong Zhu, Lu Tian, and Yi Shan · 2020
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Component divide-and-conquer for real-world image super-resolution
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin · 2020
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Cross-scale internal graph neural network for image super-resolution
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, and Chen Change Loy · 2020
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Glean: Generative latent bank for large-factor image super-resolution
Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Task-driven super resolution: Object detection in low-resolution images
Muhammad Haris, Greg Shakhnarovich, and Norimichi Ukita · 2021
Best-buddy gans for highly detailed image super-resolution
Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, and Jiangbo Lu · 2022
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Blind image super-resolution: A survey and beyond
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, and Chao Dong · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2022
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Robust reference-based super-resolution via c2-matching
Yuming Jiang, Kelvin CK Chan, Xintao Wang, Chen Change Loy, and Ziwei Liu · 2021
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Musiq: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
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Swinir: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
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Masa-sr: Matching acceleration and spatial adaptation for reference-based image super-resolution
Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, and Jiaya Jia · 2021
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Exploiting deep generative prior for versatile image restoration and manipulation
Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, and Ping Luo · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Coarse-to-fine embedded patchmatch and multi-scale dynamic aggregation for reference-based super-resolution
Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, and Jie Zhou · 2022
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Maniqa: Multi-dimension attention network for no-reference image quality assessment
Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, and Yujiu Yang · 2022
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Difface: Blind face restoration with diffused error contraction
Zongsheng Yue and Chen Change Loy · 2022
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Generative diffusion prior for unified image restoration and enhancement
Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, and Bo Dai · 2023
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Segment anything
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Diffbir: Towards blind image restoration with generative diffusion prior
Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Ben Fei, Bo Dai, Wanli Ouyang, Yu Qiao, and Chao Dong · 2023
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Controlling vision-language models for universal image restoration
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao, Jens Sjölund, and Thomas B Schön · 2023
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Exploiting diffusion prior for real-world image super-resolution
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Desra: Detect and delete the artifacts of gan-based real-world super-resolution models
Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, and Chao Dong · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Uni-controlnet: All-in-one control to text-to-image diffusion models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, and Kwan-Yee K Wong · 2023
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