# hejingwenhejingwen/AdaFM

<https://repo.masters-masters.com/en/repos/hejingwenhejingwen/AdaFM>

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

hejingwenhejingwen/AdaFM has 188 stars on GitHub. Its RepoMasters card: Prototype tier. CVPR2019 (oral) Modulating Image Restoration with Continual Levels via…

| Field | Value |
| --- | --- |
| Owner | [hejingwenhejingwen](https://repo.masters-masters.com/en/owners/hejingwenhejingwen) |
| Stars | 188 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | image-restoration, pytorch, super-resolution, adafm, denoising, cvpr2019-oral, low-level-vision, cvpr2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hejingwenhejingwen/AdaFM](https://github.com/hejingwenhejingwen/AdaFM) |

## Repository

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

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

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