# megvii-research/HDR-Transformer

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

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

megvii-research/HDR-Transformer has 102 stars on GitHub. Its RepoMasters card: Prototype tier. The official MegEngine implementation of the ECCV 2022 paper…

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 102 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | hdr-imaging, transformer, megengine |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [megvii-research/HDR-Transformer](https://github.com/megvii-research/HDR-Transformer) |

## Repository

The official MegEngine implementation of the ECCV 2022 paper: Ghost-free High Dynamic Range Imaging with Context-aware Transformer

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.