# zhengqili/unsupervised-learning-intrinsic-images

<https://repo.masters-masters.com/en/repos/zhengqili/unsupervised-learning-intrinsic-images>

[Home](https://repo.masters-masters.com/en) › [zhengqili](https://repo.masters-masters.com/en/owners/zhengqili) › [unsupervised-learning-intrinsic-images](https://repo.masters-masters.com/en/repos/zhengqili/unsupervised-learning-intrinsic-images)

zhengqili/unsupervised-learning-intrinsic-images has 110 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of the intrinsic image…

| Field | Value |
| --- | --- |
| Owner | [zhengqili](https://repo.masters-masters.com/en/owners/zhengqili) |
| Stars | 110 |
| Forks | 24 |
| Language | [OpenEdge ABL](https://repo.masters-masters.com/en/languages/openedge-abl) |
| License | MIT |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zhengqili/unsupervised-learning-intrinsic-images](https://github.com/zhengqili/unsupervised-learning-intrinsic-images) |

## Repository

Implementation of the intrinsic image decomposition algorithm described in "Learning Intrinsic Image Decomposition from Watching the World, Z. Li and N. Snavely, CVPR 2018"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by zhengqili

- [zhengqili/MegaDepth · ★ 781 · Python · Beta](https://repo.masters-masters.com/en/repos/zhengqili/MegaDepth)
- [zhengqili/Neural-Scene-Flow-Fields · ★ 742 · Python · Beta](https://repo.masters-masters.com/en/repos/zhengqili/Neural-Scene-Flow-Fields)

## Nearby in OpenEdge ABL

- [guxd/DialogWAE · ★ 126 · OpenEdge ABL · Prototype](https://repo.masters-masters.com/en/repos/guxd/DialogWAE)
- [Riverside-Software/pct · ★ 116 · OpenEdge ABL · Prototype](https://repo.masters-masters.com/en/repos/Riverside-Software/pct)
- [jblsmith/street-view-movie-maker · ★ 114 · OpenEdge ABL · Prototype](https://repo.masters-masters.com/en/repos/jblsmith/street-view-movie-maker)

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