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- Super-Resolution of Very Low-Resolution Faces from Videos
- Towards Face Super-Resolution from Realistic Video Sequences
- Efficient Video Super-Resolution Through Recurrent Latent Space
- A 3D High Resolution Generative Deep-Learning Network for Fluorescence Microscopy Image
- Generative Adversarial Networks for Single Image Super Resolution in Microscopy Images
- Attention Mechanisms in CNN-Based Single Image Super-Resolution: a Brief Review and a New Perspective
- Non-Local Convlstm for Video Compression Artifact Reduction
- Video Super-Resolution with Convolutional Neural Networks Armin Kappeler, Seunghwan Yoo, Qiqin Dai, and Aggelos K
- Super-Resolution Via Deep Learning Khizar Hayat Member, IEEE
- Video Super-Resolution with Temporal Group Attention
- COMISR: Compression-Informed Video Super-Resolution
- High-Throughput, High-Resolution Registration-Free Generative Adversarial Network Microscopy
- Super-Resolution Methods for Digital Image and Video Processing
- Residual Invertible Spatio-Temporal Network for Video Super-Resolution
- A Bidirectional Frame Recurrent Method for Video Super-Resolution
- Arxiv:2009.06290V1 [Cs.CV] 14 Sep 2020 Be Consistent Along Time
- Deformable 3D Convolution for Video Super-Resolution Xinyi Ying, Longguang Wang, Yingqian Wang, Weidong Sheng, Wei An, and Yulan Guo
- Deep Kalman Filtering Network for Video Compression Artifact Reduction