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Diffusion models are just at a tipping point for image super-resolution task.
Two Deterministic Half-quadratic Regularization Algorithms for Computed Imaging
Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
Earlier work this paper cites.
Making a “Completely Blind” Image Quality Analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
Earlier work this paper cites.
On Bayesian Adaptive Video Super Resolution
Ce Liu and Deqing Sun · 2013
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
Earlier work this paper cites.
Real-time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero, Christian Ledig, Andrew Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
Earlier work this paper cites.
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks
Yan Huang, Wei Wang, and Liang Wang · 2017
Earlier work this paper cites.
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim · 2018
Earlier work this paper cites.
Frame-Recurrent Video Super-Resolution
Mehdi SM Sajjadi, Raviteja Vemulapalli, and Matthew Brown · 2018
Earlier work this paper cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Recurrent Back-Projection Network for Video Super-Resolution
Muhammad Haris, Gregory Shakhnarovich, and Norimichi Ukita · 2019
Earlier work this paper cites.
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee · 2019
Earlier work this paper cites.
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Xintao Wang, Kelvin CK Chan, Ke Yu, Chao Dong, and Chen Change Loy · 2019
Earlier work this paper cites.
Video Enhancement with Task-Oriented Flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T. Freeman · 2019
Earlier work this paper cites.
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, and Jiayi Ma · 2019
Earlier work this paper cites.
Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2020
Earlier work this paper cites.
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, and Jiaya Jia · 2020
Cited alongside, same era.
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu · 2020
Cited alongside, same era.
Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, and Wei An · 2020
Cited alongside, same era.
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin CK Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2021
Cited alongside, same era.
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Cited alongside, same era.
Diffusion Models Beat GANs on Image Synthesis
Glide: Towards Photorealistic Image Generation and Editing with Text-guided Diffusion Models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob Mcgrew, Ilya Sutskever, and Mark Chen · 2022
Later among the works it cites.
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Later among the works it cites.
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans, David Fleet, and Mohammad Norouzi · 2022
Later among the works it cites.
Rethinking Alignment in Video Super-Resolution Transformers
Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, and Chao Dong · 2022
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Pseudoinverse-guided Diffusion Models for Inverse Problems
Jiaming Song, Arash Vahdat, Morteza Mardani, and Jan Kautz · 2022
Later among the works it cites.
Diffusers: State-of-the-art Diffusion Models, 2022
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Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
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, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, and Ming-Ming Cheng · 2021
Cited alongside, same era.
Omniscient Video Super-Resolution
Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, and Jiayi Ma · 2021
Cited alongside, same era.
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, and Sungroh Yoon · 2022
Cited alongside, same era.
Improving Diffusion Dodels for Inverse Problems Using Manifold Constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye · 2022
Cited alongside, same era.
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Zhicheng Geng, Luming Liang, Tianyu Ding, and Ilya Zharkov · 2022
Cited alongside, same era.
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf · 2022
Later among the works it cites.
AnchorFormer: Point Cloud Completion from Discriminative Nodes
Zhikai Chen, Fuchen Long, Zhaofan Qiu, Ting Yao, Wengang Zhou, Jiebo Luo, and Tao Mei · 2023
Later among the works it cites.
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung, Jeongsol Kim, Michael T Mccann, Marc L Klasky, and Jong Chul Ye · 2023
Later among the works it cites.
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
Later among the works it cites.
Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2023
Later among the works it cites.
PointClustering: Unsupervised Point Cloud Pre-training using Transformation Invariance in Clustering
Fuchen Long, Ting Yao, Zhaofan Qiu, Lusong Li, and Tao Mei · 2023
Later among the works it cites.
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
Tao Yang, Peiran Ren, Xuansong Xie, and Lei Zhang · 2023
Later among the works it cites.
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Later among the works it cites.
Denoising Diffusion Models for Plug-and-Play Image Restoration
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, and Luc Van Gool · 2023
Later among the works it cites.
VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM
Fuchen Long, Zhaofan Qiu, Ting Yao, and Tao Mei · 2024
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