# thomasjhuang/deep-learning-for-document-dewarping

<https://repo.masters-masters.com/en/repos/thomasjhuang/deep-learning-for-document-dewarping>

[Home](https://repo.masters-masters.com/en) › [thomasjhuang](https://repo.masters-masters.com/en/owners/thomasjhuang) › [deep-learning-for-document-dewarping](https://repo.masters-masters.com/en/repos/thomasjhuang/deep-learning-for-document-dewarping)

thomasjhuang/deep-learning-for-document-dewarping has 154 stars on GitHub. Its RepoMasters card: Prototype tier. An application of high resolution GANs to…

| Field | Value |
| --- | --- |
| Owner | [thomasjhuang](https://repo.masters-masters.com/en/owners/thomasjhuang) |
| Stars | 154 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | ocr, ocr-recognition, document, gan, pix2pix |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [thomasjhuang/deep-learning-for-document-dewarping](https://github.com/thomasjhuang/deep-learning-for-document-dewarping) |

## Repository

An application of high resolution GANs to dewarp images of perturbed documents

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.
