# megvii-research/PMN

<https://repo.masters-masters.com/en/repos/megvii-research/PMN>

[Home](https://repo.masters-masters.com/en) › [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) › [PMN](https://repo.masters-masters.com/en/repos/megvii-research/PMN)

megvii-research/PMN has 186 stars on GitHub. Its RepoMasters card: Prototype tier. \[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award\] Learnability…

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 186 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | pytorch, raw, data-augmentation, denoising, noise-modeling, paired-data, low-light |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [megvii-research/PMN](https://github.com/megvii-research/PMN) |

## Repository

\[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award\] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

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.