Image Colorization
Highlight: Stylization Network
To clone the whole project, use git clone --recursive:
git clone --recursive https://github.com/Lyken17/Image-Colorization
Approach
- Gray Output (To test baseline error)
- HOG + SVR (HOG_SVR)
- Residual Encoder Network (ResidualEncoderNet)
- Multi-Level Feature Network (MLNet)
- Stylization Network (StylizationNet)
| Approachs | Reference | Model Size | Quality |
|---|---|---|---|
| Multi-Level Feature (this one) | siggraph16 | 332M | High |
| Stylization Network | [ECCV] | 17M | Medium ~ High (best on outdoor scences) |
| Residual Encoder Network | \ | 98M | Medium |
For Colorizing Images or Training Models
Please refer to the sub-directory corresponding to the specific approach you want to utilize.
Poster
License
See sub-directory. If sub-directory doesn't contain a LICENSE file, then MIT License applies.