PyTorch implementation of Diverse Colorization -- Deshpande et al. "Learning Diverse Image Colorization"
This code is tested for python-3.5.2 and torch-0.3.0. Install packages in requirements.txt
The Tensorflow implementation used in the paper is divcolor
Fetch data by
bash get_data.sh
Execute main.py to first train vae+mdn and then, generate results for LFW
python main.py lfw
If you use this code, please cite
@inproceedings{DeshpandeLDColor17,
author = {Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh, Min Jin Chong and David Forsyth},
title = {Learning Diverse Image Colorization},
booktitle={Computer Vision and Pattern Recognition},
url={https://arxiv.org/abs/1612.01958},
year={2017}
}
Some examples of diverse colorizations on LFW