├── medias
└── teaser.jpg
├── requirement.txt
└── README.md
/medias/teaser.jpg:
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https://raw.githubusercontent.com/HaiminLuo/GaussianHair/HEAD/medias/teaser.jpg
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/requirement.txt:
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1 | yacs
2 | numpy
3 | torch
4 | torchvision
5 | pytorch-ignite
6 | moderngl
7 | PIL
8 | argparse
9 | opencv-python
10 | pyrender
11 | imageio
12 | imageio-ffmpeg
13 | IPython
14 |
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/README.md:
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GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians
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13 | Haimin Luo
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15 | Min Ouyang
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17 | Zijun Zhao
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19 | Suyi Jiang
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21 | Longwen Zhang
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23 | Qixuan Zhang
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25 | Wei Yang
26 | ·
27 | Lan Xu
28 | ·
29 | Jingyi Yu
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47 | This repository contains a pytorch implementation for the paper: [GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians](https://arxiv.org/abs/2402.10483). This paper presents GaussianHair, a novel explicit hair representation. It enables comprehensive modeling of hair geometry and appearance from images, fostering innovative illumination effects and dynamic animation capabilities.
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49 | Comming soon...
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51 |
52 | ## Citation
53 | If you find our code or paper helps, please consider citing:
54 | ```
55 | @article{luo2024gaussianhair,
56 | title={GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians},
57 | author={Luo, Haimin and Ouyang, Min and Zhao, Zijun and Jiang, Suyi and Zhang, Longwen and Zhang, Qixuan and Yang, Wei and Xu, Lan and Yu, Jingyi},
58 | journal={arXiv preprint arXiv:2402.10483},
59 | year={2024}
60 | }
61 | ```
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