awesome-image-colorization
github.com/markmohr/awesome-image-colorization ↗:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 1.1 software / demo resources from awesome-image-colorization"
Installation instructions →What's inside
1. Automatic Image Colorization
- ArtImageHub1.1 Software / Demo
artimagehub.com
- Automatic Controllable Colorization via Imagination1.2 Papers
CVPR 2024
- BigColor: Colorization using a Generative Color Prior for Natural Images1.2 Papers
ECCV 2022
- Bridging the Domain Gap towards Generalization in Automatic Colorization1.2 Papers
ECCV 2022
- ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution1.2 Papers
WACV 2020
- ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization1.2 Papers
CVPR 2026
0. Survey
2. User Guided Image Colorization
- COCO-LC: Colorfulness Controllable Language-based Colorization2.4 Based on language or text
ACM MM 2024
- Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation2.4 Based on language or text
ECCV 2018
- Controllable Image Colorization with Instance-aware Texts and Masks2.4 Based on language or text
arxiv 25.05
- Diffusing Colors: Image Colorization with Text Guided Diffusion2.4 Based on language or text
SIGGRAPH Asia 2023
- Language-Based Image Editing with Recurrent Attentive Models2.4 Based on language or text
CVPR 2018
- L-CAD: Language-based Colorization with Any-level Descriptions2.4 Based on language or text
NeurIPS 2023
3. Human-AI Collaborated Colorization System
4. Video Colorization
- Line art4.2 Based on reference
DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images
- Line art4.2 Based on reference
The Animation Transformer: Visual Correspondence via Segment Matching
- Line art4.2 Based on reference
Paint Bucket Colorization Using Anime Character Color Design Sheets
- Line art4.2 Based on reference
ToonCrafter: Generative Cartoon Interpolation
- Line art4.2 Based on reference
LVCD: Reference-based Lineart Video Colorization with Diffusion Models
- Line art4.2 Based on reference
LongAnimation: Long Animation Generation with Dynamic Global-Local Memory
Showing a sample of 113 resources. View the full list on GitHub →