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mmsr[Link]: Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.
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RCAN[Link]: PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
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EDSR[Link]: PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
- [SelfExSR, CVPR2015] Single Image Super-Resolution from Transformed Self-Exemplars.[Paper][Matlab]
- [DIP, CVPR2018] Deep Image Prior.[Paper][Pytorch]
- [ZSSR, CVPR2018] "Zero-Shot" Super-Resolution using Deep Internal Learning.[Paper][Tensorflow]
- [CVPR2018] Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network [Paper]
- [ECCV2020] LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block [Paper]
- [ECCV2020] Learning with Privileged Information for Efficient Image Super-Resolution [Paper]
- [SMSR, CVPR2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference[Paper][Pytorch]
- [AdderSR, CVPR2021] AdderSR: Towards Energy Efficient Image Super-Resolution[Paper]
- [PlugNet,ECCV2020] PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit. [Paper][Pytorch]
- [DSRL, CVPR2020] Dual Super-Resolution Learning for Semantic Segmentation.[Paper][Unofficial Code]
- [ICCV2019] Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection.[Paper]
Training data: DIV2K dataset