# Junshk/CinCGAN-pytorch

<https://repo.masters-masters.com/en/repos/Junshk/CinCGAN-pytorch>

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

Junshk/CinCGAN-pytorch has 146 stars on GitHub. Its RepoMasters card: Prototype tier. Unofficial Implementation of "Unsupervised Image Super-Resolution using…

| Field | Value |
| --- | --- |
| Owner | [Junshk](https://repo.masters-masters.com/en/owners/Junshk) |
| Stars | 146 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Junshk/CinCGAN-pytorch](https://github.com/Junshk/CinCGAN-pytorch) |

## Repository

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
