Fetching the paper…
Reading the bibliography…
Video restoration poses non-trivial challenges in maintaining fidelity while recovering temporally consistent details from unknown degradations in the wild.
Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
Earlier work this paper cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Bidirectional recurrent convolutional networks for multi-frame super-resolution
Yan Huang, Wei Wang, and Liang Wang · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Detail-revealing deep video super-resolution
Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, and Jiaya Jia · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Frame-recurrent video super-resolution
Mehdi SM Sajjadi, Raviteja Vemulapalli, and Matthew Brown · 2018
Earlier work this paper cites.
Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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.
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.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Video super-resolution with recurrent structure-detail network
Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, and Qi Tian · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
Earlier work this paper cites.
TDAN: Temporally-deformable alignment network for video super-resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Pre-trained image processing transformer
Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, and Wen Gao · 2021
Earlier work this paper cites.
Musiq: Multi-scale image quality transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
Earlier work this paper cites.
SwinIR: Image restoration using swin transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte · 2021
Earlier work this paper cites.
Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
Cited alongside, same era.
https://laion.ai/blog/laion-aesthetics/ , 2022
Laion-aesthetics · 2022
Cited alongside, same era.
Recurrent video restoration transformer with guided deformable attention
Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, and Luc V Gool · 2022
Cited alongside, same era.
Video swin transformer
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2022
Cited alongside, same era.
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
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
FlashAttention-2: Faster attention with better parallelism and work partitioning
Tri Dao · 2024
Later among the works it cites.
Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M Alabdulmohsin, et al · 2024
Later among the works it cites.
Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
Later among the works it cites.
Venhancer: Generative space-time enhancement for video generation
Jingwen He, Tianfan Xue, Dongyang Liu, Xinqi Lin, Peng Gao, Dahua Lin, Yu Qiao, Wanli Ouyang, and Ziwei Liu · 2024
Later among the works it cites.
Pyramidal flow matching for efficient video generative modeling
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling
Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin · 2022
Cited alongside, same era.
Difface: Blind face restoration with diffused error contraction
Zongsheng Yue and Chen Change Loy · 2022
Cited alongside, same era.
Towards robust blind face restoration with codebook lookup transformer
Shangchen Zhou, Kelvin C.K. Chan, Chongyi Li, and Chen Change Loy · 2022
Cited alongside, same era.
https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler , 2023
Stable Diffusion x4 Upscaler · 2023
Cited alongside, same era.
Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
Cited alongside, same era.
FIT: Far-reaching interleaved transformers
Ting Chen and Lala Li · 2023
Cited alongside, same era.
Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, and Zhouchen Lin · 2024
Later among the works it cites.
VideoPoet: A large language model for zero-shot video generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, et al · 2024
Later among the works it cites.
Open-sora-plan
PKU-Yuan Lab and Tuzhan AI etc · 2024
Later among the works it cites.
Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, et al · 2024
Later among the works it cites.
VRT: A video restoration transformer
Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, and Luc Van Gool · 2024
Later among the works it cites.
Sora: A review on background, technology, limitations, and opportunities of large vision models
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, et al · 2024
Later among the works it cites.
Movie Gen: A cast of media foundation models
Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, et al · 2024
Later among the works it cites.
Cosmos tokenizer: A suite of image and video neural tokenizers
Fitsum Reda, Jinwei Gu, Xian Liu, Songwei Ge, Ting-Chun Wang, Haoxiang Wang, and Ming-Yu Liu · 2024
Later among the works it cites.
Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2024
Later among the works it cites.
SeeSR: Towards semantics-aware real-world image super-resolution
Rongyuan Wu, Tao Yang, Lingchen Sun, Zhengqiang Zhang, Shuai Li, and Lei Zhang · 2024
Later among the works it cites.
Diffir2vr-zero: Zero-shot video restoration with diffusion-based image restoration models
Chang-Han Yeh, Chin-Yang Lin, Zhixiang Wang, Chi-Wei Hsiao, Ting-Hsuan Chen, and Yu-Lun Liu · 2024
Later among the works it cites.
FMA-Net: Flow-guided dynamic filtering and iterative feature refinement with multi-attention for joint video super-resolution and deblurring
Geunhyuk Youk, Jihyong Oh, and Munchurl Kim · 2024
Later among the works it cites.
Efficient diffusion model for image restoration by residual shifting
Zongsheng Yue, Jianyi Wang, and Chen Change Loy · 2024
Later among the works it cites.
RealViformer: Investigating attention for real-world video super-resolution
Yuehan Zhang and Angela Yao · 2024
Later among the works it cites.
Tora: Trajectory-oriented diffusion transformer for video generation
Zhenghao Zhang, Junchao Liao, Menghao Li, Long Qin, and Weizhi Wang · 2024
Later among the works it cites.
Cv-vae: A compatible video vae for latent generative video models
Sijie Zhao, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Muyao Niu, Xiaoyu Li, Wenbo Hu, and Ying Shan · 2024
Later among the works it cites.
Open-sora: Democratizing efficient video production for all
Zangwei Zheng, Xiangyu Peng, Tianji Yang, Chenhui Shen, Shenggui Li, Hongxin Liu, Yukun Zhou, Tianyi Li, and Yang You · 2024
Later among the works it cites.
Diffit: Diffusion vision transformers for image generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, and Arash Vahdat · 2025
Closest in time.