# jiny2001/dcscn-super-resolution

<https://repo.masters-masters.com/en/repos/jiny2001/dcscn-super-resolution>

[Home](https://repo.masters-masters.com/en) › [jiny2001](https://repo.masters-masters.com/en/owners/jiny2001) › [dcscn-super-resolution](https://repo.masters-masters.com/en/repos/jiny2001/dcscn-super-resolution)

jiny2001/dcscn-super-resolution has 712 stars on GitHub. Its RepoMasters card: Beta tier. A tensorflow implementation of "Fast and Accurate Image Super…

| Field | Value |
| --- | --- |
| Owner | [jiny2001](https://repo.masters-masters.com/en/owners/jiny2001) |
| Stars | 712 |
| Forks | 218 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | deep-learning, computer-vision, super-resolution, tensorflow, python |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [jiny2001/dcscn-super-resolution](https://github.com/jiny2001/dcscn-super-resolution) |

## Repository

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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