# twtygqyy/pytorch-SRResNet

<https://repo.masters-masters.com/en/repos/twtygqyy/pytorch-SRResNet>

[Home](https://repo.masters-masters.com/en) › [twtygqyy](https://repo.masters-masters.com/en/owners/twtygqyy) › [pytorch-SRResNet](https://repo.masters-masters.com/en/repos/twtygqyy/pytorch-SRResNet)

twtygqyy/pytorch-SRResNet has 511 stars on GitHub. Its RepoMasters card: Alpha tier. pytorch implementation for Photo-Realistic Single Image Super-Resolution…

| Field | Value |
| --- | --- |
| Owner | [twtygqyy](https://repo.masters-masters.com/en/owners/twtygqyy) |
| Stars | 511 |
| Forks | 129 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, resolution, pytorch-srresnet |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [twtygqyy/pytorch-SRResNet](https://github.com/twtygqyy/pytorch-SRResNet) |

## Repository

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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