# msmsajjadi/EnhanceNet-Code

<https://repo.masters-masters.com/en/repos/msmsajjadi/EnhanceNet-Code>

[Home](https://repo.masters-masters.com/en) › [msmsajjadi](https://repo.masters-masters.com/en/owners/msmsajjadi) › [EnhanceNet-Code](https://repo.masters-masters.com/en/repos/msmsajjadi/EnhanceNet-Code)

msmsajjadi/EnhanceNet-Code has 171 stars on GitHub. Its RepoMasters card: Prototype tier. EnhanceNet: Single Image Super-Resolution Through Automated Texture…

| Field | Value |
| --- | --- |
| Owner | [msmsajjadi](https://repo.masters-masters.com/en/owners/msmsajjadi) |
| Stars | 171 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | tensorflow, deep-learning, super-resolution, enhancenet, max-planck-institute, publication, iccv2017, neural-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [msmsajjadi/EnhanceNet-Code](https://github.com/msmsajjadi/EnhanceNet-Code) |

## Repository

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

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

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