Fetching the paper…
Reading the bibliography…
A recurrent structure is a popular framework choice for the task of video super-resolution.
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.
Learning long-term dependencies in NARX recurrent neural networks
Tsungnan Lin, Bill G Horne, Peter Tino, and C Lee Giles · 1996
Earlier work this paper cites.
On bayesian adaptive video super resolution
Ce Liu and Deqing Sun · 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.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
SGDR: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
Earlier work this paper cites.
Higher order recurrent neural networks
Rohollah Soltani and Hui Jiang · 2016
Earlier work this paper cites.
Real-time video super-resolution with spatio-temporal networks and motion compensation
Jose Caballero, Christian Ledig, Aitken Andrew, Acosta Alejandro, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
Earlier work this paper cites.
Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
Earlier work this paper cites.
Residual conv-deconv grid network for semantic segmentation
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, and Christian Wolf · 2017
Earlier work this paper cites.
Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
Earlier work this paper cites.
Optical flow estimation using a spatial pyramid network
Anurag Ranjan and Michael J Black · 2017
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.
Optimizing video object detection via a scale-time lattice
Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, and Dahua Lin · 2018
Earlier work this paper cites.
Video super-resolution via bidirectional recurrent convolutional networks
Yan Huang, Wei Wang, and Liang Wang · 2018
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
Cited alongside, same era.
Sparse attentive backtracking: Temporal creditassignment through reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C Mozer, Chris Pal, and Yoshua Bengio · 2018
Cited alongside, same era.
Frame-recurrent video super-resolution
Mehdi S M Sajjadi, Raviteja Vemulapalli, and Matthew Brown · 2018
Cited alongside, same era.
TDAN: Temporally deformable alignment network for video super-resolution
Yapeng Tian, Yulun Zhang, Yun Fu, and Chenliang Xu · 2018
Cited alongside, same era.
Efficient video super-resolution through recurrent latent space propagation
Dario Fuoli, Shuhang Gu, and Radu Timofte · 2019
Cited alongside, same era.
Recurrent back-projection network for video super-resolution
Deformable ConvNets v2: More deformable, better results
Xizhou Zhu, Han Hu, Stephen Lin, and Jifeng Dai · 2019
Later among the works it cites.
ShelfNet for fast semantic segmentation
Juntang Zhuang, Junlin Yang, Lin Gu, and Nicha Dvornek · 2019
Later among the works it cites.
Video super-resolution with recurrent structure-detail network
Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, and Qi Tian · 2020
Later among the works it cites.
Video super-resolution with temporal group attention
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, and Qi Tian · 2020
Later among the works it cites.
Revisiting temporal modeling for video super-resolution
Takashi Isobe, Fang Zhu, and Shengjin Wang · 2020
Later among the works it cites.
MuCAN: Multi-correspondence aggregation network for video super-resolution
Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, and Jiaya Jia · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Muhammad Haris, Greg Shakhnarovich, and Norimichi Ukita · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Recurrent neural networks with intra-frame iterations for video deblurring
Seungjun Nah, Sanghyun Son, and Kyoung Mu Lee · 2019
Cited alongside, same era.
High-resolution representations for labeling pixels and regions
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, and Jingdong Wang · 2019
Cited alongside, same era.
Deformable non-local network for video super-resolution
Hua Wang, Dewei Su, Longcun Jin, and Chuangchuang Liu · 2019
Cited alongside, same era.
EDVR: Video restoration with enhanced deformable convolutional networks
Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, and Chen Change Loy · 2019
Cited alongside, same era.
Video enhancement with task-oriented flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T Freeman · 2019
Cited alongside, same era.
Later among the works it cites.
Softmax splatting for video frame interpolation
Simon Niklaus and Feng Liu · 2020
Later among the works it cites.
Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2020
Later among the works it cites.
Zooming Slow-Mo: Fast and accurate one-stage space-time video super-resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P Allebach, and Chenliang Xu · 2020
Later among the works it cites.
Learning spatial and spatio-temporal pixel aggregations for image and video denoising
Xiangyu Xu, Muchen Li, Wenxiu Sun, and Ming-Hsuan Yang · 2020
Later among the works it cites.
BasicVSR: The search for essential components in video super-resolution and beyond
Kelvin C.K. Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2021
Closest in time.
Understanding deformable alignment in video super-resolution
Kelvin C.K. Chan, Xintao Wang, Ke Yu, Chao Dong, and Chen Change Loy · 2021
Closest in time.
NTIRE 2021 challenge on video super-resolution
Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee, Kelvin C.K. Chan, et al · 2021
Closest in time.
NTIRE 2021 challenge on quality enhancement of compressed video: Methods and results
Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin CK Chan, Shangchen Zhou, Xiangyu Xu, et al · 2021
Closest in time.