117 lines
3.7 KiB
Markdown
117 lines
3.7 KiB
Markdown
# Gaussian Haircut：使用股线对齐 3D 高斯模型进行人体头发重建
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[**论文**](https://arxiv.org/abs/2409.14778) | [**项目页面**](https://eth-ait.github.io/GaussianHaircut/)
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本仓库包含了 Gaussian Haircut 的官方实现，这是一种基于股线的人体头发重建方法，用于单目视频。
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## 入门指南
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### Linux 平台
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1. **安装 CUDA 11.8**
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按照 https://developer.nvidia.com/cuda-11-8-0-download-archive 上的说明进行操作。
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确保：
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- PATH 包含 <CUDA_DIR>/bin
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- LD_LIBRARY_PATH 包含 <CUDA_DIR>/lib64
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该环境仅在此 CUDA 版本下进行了测试。
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2. **安装 Blender 3.6** 以创建股线可视化
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按照 https://www.blender.org/download/lts/3-6 上的说明进行操作。
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3. **克隆仓库并运行安装脚本**
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```bash
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git clone git@github.com:eth-ait/GaussianHaircut.git
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cd GaussianHaircut
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chmod +x ./install.sh
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./install.sh
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```
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### Windows 平台
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1. **安装 CUDA 11.8**
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- 从 https://developer.nvidia.com/cuda-11-8-0-download-archive 下载并安装
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- 默认安装路径：C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8
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2. **安装 Blender 3.6**
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- 从 https://www.blender.org/download/lts/3-6 下载并安装
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- 默认安装路径：C:\Program Files\Blender Foundation\Blender 3.6
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3. **安装 Visual Studio 2019 Build Tools**
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- 从 https://visualstudio.microsoft.com/vs/older-downloads/ 下载并安装
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- 选择"C++构建工具"工作负载
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- 默认安装路径：C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools
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4. **安装 COLMAP**
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- 从 https://github.com/colmap/colmap/releases 下载并安装
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- 确保将COLMAP添加到系统PATH环境变量中
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5. **安装 micromamba**
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- 从 https://mamba.readthedocs.io/en/latest/installation.html 下载并安装
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6. **克隆仓库并运行安装脚本**
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```cmd
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git clone git@github.com:eth-ait/GaussianHaircut.git
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cd GaussianHaircut
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install.bat
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```
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## 重建
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1. **录制单目视频**
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参考项目页面上的示例，并尽可能减少运动模糊。
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2. **设置重建场景的目录**
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将视频文件放入其中，并将其重命名为 raw.mp4
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3. **运行脚本**
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Linux:
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```bash
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export PROJECT_DIR="[/path/to/]GaussianHaircut"
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export BLENDER_DIR="[/path/to/blender/folder/]blender"
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DATA_PATH="[path/to/scene/folder]" ./run.sh
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```
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Windows:
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```cmd
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set PROJECT_DIR=[path\to\]GaussianHaircut
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set DATA_PATH=[path\to\scene\folder]
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run.bat
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```
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该脚本执行数据预处理、重建以及使用 Blender 进行最终可视化。使用 Tensorboard 查看中间可视化结果。
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## 许可证
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此代码基于 3D Gaussian Splatting 项目。有关条款和条件，请参阅 LICENSE_3DGS。其余代码根据 CC BY-NC-SA 4.0 分发。
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如果此代码对您的项目有帮助，请引用以下论文。
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## 引用
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```
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@inproceedings{zakharov2024gh,
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title = {Human Hair Reconstruction with Strand-Aligned 3D Gaussians},
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author = {Zakharov, Egor and Sklyarova, Vanessa and Black, Michael J and Nam, Giljoo and Thies, Justus and Hilliges, Otmar},
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booktitle = {European Conference of Computer Vision (ECCV)},
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year = {2024}
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}
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```
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## 链接
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- [3D Gaussian Splatting](https://github.com/graphdeco-inria/gaussian-splatting)
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- [Neural Haircut](https://github.com/SamsungLabs/NeuralHaircut): FLAME 拟合管线、股线先验和发型扩散先验
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- [HAAR](https://github.com/Vanessik/HAAR): 头发上采样
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- [Matte-Anything](https://github.com/hustvl/Matte-Anything): 头发和身体分割
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- [PIXIE](https://github.com/yfeng95/PIXIE): FLAME 拟合的初始化
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- [Face-Alignment](https://github.com/1adrianb/face-alignment), [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose): 用于 FLAME 拟合的关键点检测
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