StonyBrook-CVLab/doc3D-dataset
doc3D Doc3D is the first 3D dataset focused on document unwarping with realistic paper warping and renderings. It contains 100k images with the following ground-truths: 3D Coordinates Depth UV Backward Mapping Albedo Normals Checkerboard Useful links: More details of the data usage instructions are available in the GitHub repo: https://github.com/cvlab-stonybrook/doc3D-dataset Link to the training code: https://github.com/cvlab-stonybrook/DewarpNet Link… See the full description on the dataset page: https://huggingface.co/datasets/StonyBrook-CVLab/doc3D-dataset.
| Author / organization | StonyBrook-CVLab |
|---|---|
| License (as declared) | mit |
| Downloads | 752 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 18 December 2025 |
| Last updated at source | 18 December 2025 |
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- 16 Oct 2026 Description: doc3D Doc3D is the first 3D dataset focused on document unwarping with realistic paper warping and renderings. It contains 100k images with the following ground-truths: 3D Coordinates Depth UV Backward Mapping Albedo Normals Checkerboard Us → doc3D Doc3D is the first 3D dataset focused on document unwarping with realistic paper warping and renderings. It contains 100k images with the following ground-truths: 3D Coordinates Depth UV Backward Mapping Albedo Normals Checkerboard Us
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