| tamarott/SinGAN |
3,129 |
|
0 |
0 |
over 3 years ago |
0 |
|
98 |
other |
Python |
| Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image" |
| ChaofWang/Awesome-Super-Resolution |
2,138 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
|
|
| Collect super-resolution related papers, data, repositories |
| YapengTian/Single-Image-Super-Resolution |
1,763 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
|
|
| A collection of high-impact and state-of-the-art SR methods |
| andreas128/SRFlow |
744 |
|
0 |
0 |
over 3 years ago |
0 |
|
39 |
other |
Jupyter Notebook |
| Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch |
| titu1994/Image-Super-Resolution |
702 |
|
0 |
0 |
over 5 years ago |
0 |
|
12 |
|
Python |
| Implementation of Super Resolution CNN in Keras. |
| yulunzhang/RDN |
479 |
|
0 |
0 |
over 3 years ago |
0 |
|
16 |
|
Lua |
| Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight) |
| alterzero/DBPN-Pytorch |
388 |
|
0 |
0 |
almost 6 years ago |
0 |
|
18 |
mit |
Python |
| The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018) |
| MIVRC/MSRN-PyTorch |
188 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Python |
| This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018). |
| haofanwang/Awesome-Computer-Vision |
186 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
|
| Awesome Resources for Advanced Computer Vision Topics |
| ceciliavision/zoom-learn-zoom |
183 |
|
0 |
0 |
almost 6 years ago |
0 |
|
6 |
|
Jupyter Notebook |
| computational zoom from raw sensor data |
