- Learned Temporal Dynamics [PDF]
- Robust Video Super-Resolution with Learned Temporal Dynamics (ICCV2017), Ding Liu et al.
- VESPCN [PDF]
- Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation (Arxiv2016), Jose Caballero et al.
- Infimal Convolution [PDF]
- Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution (Arxiv2016), Hendrik Dirks et al.
- Detail-Revealing [PDF]
- Detail-Revealing Deep Video Super-resolution (Arxiv2017), Xin Tao et al.
- Motion Blur [PDF][Webiste][Code]
- Handling Motion Blur in Multi-Frame Super-Resolution (CVPR2015), Ma Ziyang et al.
- Draft-Ensemble [PDF][Webiste][Code]
- Video Super-Resolution via Deep Draft-Ensemble Learning (ICCV2015), Renjie Liao et al.
- Pure CNN [PDF][Webiste][Code]
- Video Super-Resolution with Convolutional Neural Networks (TCI2016), Armin Kappeler et al.
- BRCN [PDF][Webiste][Code]
- Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution (NIPS2016), Yan Huang et al.
- Bayesian [PDF][Webiste]
- A Bayesian Approach to Adaptive Video Super Resolution (CVPR2011), Ce Liu et al.
- Video Enhancer [Webiste]
- Nuclear-norm Model [PDF]
- A Nuclear-norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips (Arxiv 2017), Rui Zhao and Raymond H. Chan et al.
- Improved Robustness [PDF]
- A New Adaptive Video SRR Algorithm With Improved Robustness to Innovations (Arxiv 2017), Ricardo Augusto Borsoi, Guilherme Holsbach Costa, Jose Carlos Moreira Bermudez.
- Scalable Video SR [PDF]
- A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames (Arxiv 2017), Mohammad Hossein Moghaddam, Mohammad Javad Azizipour, Saeed Vahidian, Besma Smida.
- End-to-End Learning [PDF]
- End-to-End Learning of Video Super-Resolution with Motion Compensation (GCPR2017), Osama Makansi, Eddy Ilg, and Thomas Brox.
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