# MarkMoHR/Awesome-Image-Colorization

<https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Image-Colorization>

[Home](https://repo.masters-masters.com/en) › [MarkMoHR](https://repo.masters-masters.com/en/owners/MarkMoHR) › [Awesome-Image-Colorization](https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Image-Colorization)

MarkMoHR/Awesome-Image-Colorization has 1,169 stars on GitHub. Its RepoMasters card: Beta tier. :books: A collection of Deep Learning based Image Colorization…

| Field | Value |
| --- | --- |
| Owner | [MarkMoHR](https://repo.masters-masters.com/en/owners/MarkMoHR) |
| Stars | 1,169 |
| Forks | 111 |
| Language | No language |
| License | None |
| Created | 2018 |
| Topics | image-colorization, user-interaction, papers, graphics, computer-vision, colorization, user-guided, automatic-colorization, deep-learning, image-colorization-paper |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MarkMoHR/Awesome-Image-Colorization](https://github.com/MarkMoHR/Awesome-Image-Colorization) |

## Repository

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by MarkMoHR

- [MarkMoHR/Awesome-Edge-Detection-Papers · ★ 1,569 · Beta](https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Edge-Detection-Papers)
- [MarkMoHR/Awesome-Referring-Image-Segmentation · ★ 830 · Beta](https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Referring-Image-Segmentation)
- [MarkMoHR/Awesome-Sketch-Based-Applications · ★ 717 · Beta](https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Sketch-Based-Applications)
- [MarkMoHR/Awesome-Sketch-Synthesis · ★ 582 · Alpha](https://repo.masters-masters.com/en/repos/MarkMoHR/Awesome-Sketch-Synthesis)
- [MarkMoHR/virtual\_sketching · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/MarkMoHR/virtual_sketching)

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