# cvlab-stonybrook/PaperEdge

<https://repo.masters-masters.com/en/repos/cvlab-stonybrook/PaperEdge>

[Home](https://repo.masters-masters.com/en) › [cvlab-stonybrook](https://repo.masters-masters.com/en/owners/cvlab-stonybrook) › [PaperEdge](https://repo.masters-masters.com/en/repos/cvlab-stonybrook/PaperEdge)

cvlab-stonybrook/PaperEdge has 140 stars on GitHub. Its RepoMasters card: Prototype tier. The code and the DIW dataset for "Learning From Documents in the…

| Field | Value |
| --- | --- |
| Owner | [cvlab-stonybrook](https://repo.masters-masters.com/en/owners/cvlab-stonybrook) |
| Stars | 140 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cvlab-stonybrook/PaperEdge](https://github.com/cvlab-stonybrook/PaperEdge) |

## Repository

The code and the DIW dataset for "Learning From Documents in the Wild to Improve Document Unwarping" (SIGGRAPH 2022)

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.