# thangvubk/FEQE

<https://repo.masters-masters.com/en/repos/thangvubk/FEQE>

[Home](https://repo.masters-masters.com/en) › [thangvubk](https://repo.masters-masters.com/en/owners/thangvubk) › [FEQE](https://repo.masters-masters.com/en/repos/thangvubk/FEQE)

thangvubk/FEQE has 127 stars on GitHub. Its RepoMasters card: Prototype tier. Official code (Tensorflow) for paper "Fast and Efficient Image Quality…

| Field | Value |
| --- | --- |
| Owner | [thangvubk](https://repo.masters-masters.com/en/owners/thangvubk) |
| Stars | 127 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | image-super-resolution, image-enhancement, mobile-devices, deep-convolutional-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [thangvubk/FEQE](https://github.com/thangvubk/FEQE) |

## Repository

Official code (Tensorflow) for paper "Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks"

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.