| Model | Published | Code | Keywords |
|---|---|---|---|
| RBPN | CVPR19 | PyTorch | VideoSR |
| SRFBN | CVPR19 | PyTorch | Feedback |
| AdaFM | CVPR19 | PyTorch | Adaptive Feature Modification Layers |
| MoreMNAS | arXiv | - | Lightweight，NAS |
| FALSR | arXiv | TensorFlow | Lightweight，NAS |
| Meta-SR | CVPR19 | PyTorch | Arbitrary Magnification |
| AWSRN | arXiv | PyTorch | Lightweight |
| OISR | CVPR19 | PyTorch | ODE-inspired Network |
| DPSR | CVPR19 | PyTorch | |
| DNI | CVPR19 | PyTorch | |
| MAANet | arXiv | Multi-view Aware Attention | |
| RNAN | ICLR19 | PyTorch | Residual Non-local Attention |
| FSTRN | CVPR19 | - | VideoSR, fast spatio-temporal residual block |
| MsDNN | arXiv | TensorFlow | NTIRE19 real SR 21th place |
| SAN | CVPR19 | Pytorch | Second-order Attention,cvpr19 oral |
| EDVR | CVPRW19 | Pytorch | Video, NTIRE19 video restoration and enhancement champions |
| Ensemble for VSR | CVPRW19 | - | VideoSR, NTIRE19 video SR 2nd place |
| TENet | arXiv | Pytorch | a Joint Solution for Demosaicking, Denoising and Super-Resolution |
| MCAN | arXiv | Pytorch | Matrix-in-matrix CAN, Lightweight |
| IKC&SFTMD | CVPR19 | - | Blind Super-Resolution |
| SRNTT | CVPR19 | TensorFlow | Neural Texture Transfer |
| RawSR | CVPR19 | TensorFlow | Real Scene Super-Resolution, Raw Images |
| resLF | CVPR19 | Light field | |
| CameraSR | CVPR19 | realistic image SR | |
| ORDSR | TIP | model | DCT domain SR |
| U-Net | CVPRW19 | NTIRE19 real SR 2nd place, U-Net,MixUp,Synthesis | |
| DRLN | TPAMI20 | code | Densely Residual Laplacian Super-Resolution |
| EDRN | CVPRW19 | Pytorch | NTIRE19 real SR 9th places |
| FC2N | arXiv | Fully Channel-Concatenated | |
| GMFN | BMVC2019 | Pytorch | Gated Multiple Feedback |
| CNN&TV-TV Minimization | BMVC2019 | TV-TV Minimization | |
| HRAN | arXiv | Hybrid Residual Attention Network | |
| PPON | arXiv | code | Progressive Perception-Oriented Network |
| SROBB | ICCV19 | Targeted Perceptual Loss | |
| RankSRGAN | ICCV19 | PyTorch | oral, rank-content loss |
| edge-informed | ICCVW19 | PyTorch | Edge-Informed Single Image Super-Resolution |
| s-LWSR | arxiv | Lightweight | |
| DNLN | arxiv | Video SR Deformable Non-local Network | |
| MGAN | arxiv | Multi-grained Attention Networks | |
| IMDN | ACM MM 2019 | PyTorch | AIM19 Champion |
| ESRN | arxiv | NAS | |
| PFNL | ICCV19 | Tensorflow | VideoSR oral,Non-Local Spatio-Temporal Correlations |
| EBRN | ICCV19 | Tensorflow | Embedded Block Residual Network |
| Deep SR-ITM | ICCV19 | matlab | SDR to HDR, 4K SR |
| feature SR | ICCV19 | Super-Resolution for Small Object Detection | |
| STFAN | ICCV19 | PyTorch | Video Deblurring |
| KMSR | ICCV19 | PyTorch | GAN for blur-kernel estimation |
| CFSNet | ICCV19 | PyTorch | Controllable Feature |
| FSRnet | ICCV19 | Multi-bin Trainable Linear Units | |
| SAM+VAM | ICCVW19 | ||
| SinGAN | ICCV19 | PyTorch | bestpaper, train from single image |