HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks (bibtex)

by Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong and Hao Li

Abstract:

We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image.

Reference:

HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks (Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong and Hao Li), In ECCV, 2018.

Bibtex Entry:

@inproceedings{Zhou2018HairNetSH,
	abstract = {We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image.},
	title = {HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks},
	url = {https://arxiv.org/abs/1806.07467},
	author = {Yi Zhou and Liwen Hu and Jun Xing and Weikai Chen and Han-Wei Kung and Xin Tong and Hao Li},
	booktitle = {ECCV},
	year = {2018}
}