The Networks for "Hair-GAN: Recovering 3D Hair Structure from a Single Image using Generative Adversarial Networks"

Ref.to [https://arxiv.org/abs/1811.06229]

An overview of our Hair-GANs architecture. The generator and the discriminator are trained in conjunction.

This folder contains the code for orientation and confidence map generation with an image as input. Please begin from the "toRunConfidenceBuider" to track the implimentation of Unsupervised Texture Segmentation Using Gabor Filters

If you use our code or model, please cite our paper:

@article{zhang2019hair, title={Hair-GAN: Recovering 3D hair structure from a single image using generative adversarial networks}, author={Zhang, Meng and Zheng, Youyi}, journal={Visual Informatics}, volume={3}, number={2}, pages={102–112}, year={2019}, publisher={Elsevier} }