Awesome-Image-Colorization
A collection of Deep Learning based Image Colorization papers and corresponding source code/demo program, including Automatic and User Guided (i.e. with User Interaction) colorization, as well as video colorization.
Feel free to create a PR or an issue. (Pull Request is preferred)
Outline
- Automatic Image Colorization
- User Guided Image Colorization
- Techniques of Improving Image Colorization
- Video Colorization
1. Automatic Image Colorization
- Software / Demo
Name | Author/Owner | Code/Project Link |
---|---|---|
DeOldify | Jason Antic | [link] |
Palette.fm | Emil Wallner | [link] |
- Papers
2. User Guided Image Colorization
2.1 Based on scribble
- Software / Demo
Image Type | Name | Author/Owner | Code/Project Link |
---|---|---|---|
Line art | Petalica Paint (Old version: PaintsChainer) | Preferred Networks, Inc. | [Petalica Paint (Online service)] [PaintsChainer V1 code] |
Line art | Style2Paints (SEPA) | Style2Paints Research | [link] |
- Papers
2.2 Based on reference image
2.3 Based on palette
Image Type | Paper | Source | Code/Project Link |
---|---|---|---|
Natural Image | Palette-based Photo Recoloring | SIGGRAPH 2015 | [project] |
Natural Gray-Scale | Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation (also text based) | ECCV 2018 | [code] |
Natural Gray-Scale | Example-Based Colourization Via Dense Encoding Pyramids (also reference based) | Pacific Graphics 2018 | [code] |
Natural Gray-Scale | PalGAN: Image Colorization with Palette Generative Adversarial Networks | ECCV 2022 | [code] |
2.4 Based on language or text
Image Type | Paper | Source | Code/Project Link |
---|---|---|---|
Natural Gray-Scale / Sketch | Language-Based Image Editing with Recurrent Attentive Models | CVPR 2018 | [code] |
Natural Gray-Scale | Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation (also palette based) | ECCV 2018 | [code] |
Natural Gray-Scale | Learning to Color from Language | NAACL 2018 | [code] |
Line art | Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss | ICCV 2019 | [code] [code2 (GUI)] |
Scene Sketch | Language-based Colorization of Scene Sketches | SIGGRAPH Asia 2019 | [code] [project] |
Natural Gray-Scale | L-CoDe: Language-based Colorization using Color-object Decoupled Conditions | AAAI 2022 | [code] |
Natural Gray-Scale | L-CoDer: Language-based Colorization with Color-object Decoupling Transformer | ECCV 2022 | [code] |
Natural Gray-Scale | L-CoIns: Language-based Colorization with Instance Awareness | CVPR 2023 |
2.5 Multi-modal (Joint inputs)
Image Type | Paper | Input | Source | Code/Project Link |
---|---|---|---|---|
Natural Gray-Scale | Interactive Deep Colorization Using Simultaneous Global and Local Inputs | stroke + palette | ICASSP 2019 | |
Natural Gray-Scale | UniColor: A Unified Framework for Multi-Modal Colorization with Transformer | stroke + exemplar + text | SIGGRAPH Asia 2022 | [project] |
2.6 Interactive Colorization
Image Type | Paper | Source | Code/Project Link |
---|---|---|---|
Line art | Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization | WACV 2023 |
3. Techniques of Improving Image Colorization
Paper | Source | Code/Project Link |
---|---|---|
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects | ICCV 2021 | [project] [code(metric)] |
Line Art Colorization Based on Explicit Region Segmentation | Pacific Graphics 2021 | [code] |
4. Video Colorization
4.1 Automatically
Image Type | Paper | Source | Code/Project Link |
---|---|---|---|
Natural Gray-Scale | Fully Automatic Video Colorization with Self-Regularization and Diversity | CVPR 2019 | [code] |
4.2 Based on reference
4.3 Based on scribble
Image Type | Paper | Source | Code/Project Link |
---|---|---|---|
Natural Gray-Scale | SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation | TIP 2023 | [code] |