# compphoto/Intrinsic

<https://repo.masters-masters.com/en/repos/compphoto/Intrinsic>

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

compphoto/Intrinsic has 389 stars on GitHub. Its RepoMasters card: Alpha tier. Repo for the papers "Intrinsic Image Decomposition via Ordinal Shading" (TOG…

| Field | Value |
| --- | --- |
| Owner | [compphoto](https://repo.masters-masters.com/en/owners/compphoto) |
| Stars | 389 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | computer-graphics, computer-vision, image-processing, intrinsic-decomposition, inverse-rendering, machine-learning, multi-illumination |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [compphoto/Intrinsic](https://github.com/compphoto/Intrinsic) |

## Repository

Repo for the papers "Intrinsic Image Decomposition via Ordinal Shading" (TOG 2023) and "Colorful Diffuse Intrinsic Image Decomposition in the Wild" (TOG 2024)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
