# guochengqian/TENet

<https://repo.masters-masters.com/en/repos/guochengqian/TENet>

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

guochengqian/TENet has 303 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICCP'22\] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution…

| Field | Value |
| --- | --- |
| Owner | [guochengqian](https://repo.masters-masters.com/en/owners/guochengqian) |
| Stars | 303 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, super-resolution, demosaicing, denoising |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [guochengqian/TENet](https://github.com/guochengqian/TENet) |

## Repository

\[ICCP'22\] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

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

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