Add task category, tags, and AnimeHair dataset details (#1)

- Add task category, tags, and AnimeHair dataset details (82b1ee14d7cc57ea6dc22c4b12f8372346f00254)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,6 +1,13 @@
 ---
 license: gpl-3.0
+task_categories:
+- image-to-3d
+tags:
+- 3d-modeling
+- anime
+- hairstyle
 ---
+
 # CHARM
 
 <p align="center">
@@ -28,4 +35,52 @@ for file in files:
         repo_type="dataset",
         local_dir='./test_cases'
     )
+```
+
+## AnimeHair Dataset
+
+Due to policy restrictions, we are unable to redistribute the raw 3D models of the training dataset. However, you can download the VRoid dataset by following the instructions provided in [PAniC-3D](https://github.com/ShuhongChen/panic3d-anime-reconstruction). **Please note:** When downloading the VRoid dataset, replace the `metadata.json` file mentioned in the PAniC-3D instructions with the file from [this link](https://drive.google.com/file/d/17xM1NJAN70yEfTZ2T-uBaNXrSz8v15On/view?usp=sharing). All other steps should follow the original PAniC-3D guide.
+
+In place of the raw data, we are providing the preprocessing scripts and training data list.
+
+First, install [Blender](https://www.blender.org/) and download the [VRM Blender Add-on](https://vrm-addon-for-blender.info/en/). Then, install the add-on using the following command:
+
+```bash
+blender --background --python blender/install_addon.py -- VRM_Addon_for_Blender-release.zip
+```
+
+Next, execute the Blender script to separate the hair meshes from the 3D models:
+
+```bash
+cd blender
+python distributed_uniform.py --input_dir /PATH/TO/YOUR/VROIDDATA --save_dir /PATH/TO/YOUR/SAVEDIR --workers 32
+```
+*   `/PATH/TO/YOUR/VROIDDATA`: Specify the directory where you downloaded the VRoid dataset.
+*   `/PATH/TO/YOUR/SAVEDIR`: Specify the directory where the separated hair models will be saved.
+
+After separating the hair, run the following script to post-process the hairstyles and convert them into a template format:
+
+```bash
+python process_hair.py --input_dir /PATH/TO/YOUR/SAVEDIR
+```
+*   `/PATH/TO/YOUR/SAVEDIR`: This should be the same directory where the separated hair models were saved in the previous step.
+
+Finally, sample point clouds from the processed hair models:
+
+```bash
+python sample_hair.py --input_dir /PATH/TO/YOUR/SAVEDIR
+```
+*   `/PATH/TO/YOUR/SAVEDIR`: Again, use the directory containing the post-processed hair models.
+
+## Citation
+
+If you find our work useful, please kindly cite:
+
+```bibtex
+@article{he2025charm,
+  title={CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling},
+  author={He, Yuze and Zhou, Yanning and Zhao, Wang and Ye, Jingwen and Bai, Yushi and Xiao, Kaiwen and Liu, Yong-Jin and Sun, Zhongqian and Yang, Wei},
+  journal={arXiv preprint arXiv:2509.21114},
+  year={2025}
+}
 ```