Awesome

animerecon-benchmark

This repo downloads the AnimeRecon benchmark dataset introduced in PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters. As described in that repo, this downloader will add to ./_data/lustrous

setup

Make a copy of ./_env/machine_config.bashrc.template to ./_env/machine_config.bashrc, and set $PROJECT_DN to the absolute path of this repository folder. The other variables are optional.

Run these lines from the project directory to pull the image from the main project and enter a container; note these are bash scripts inside the ./make folder, not make commands.

make/docker_pull
make/shell_docker

download

Download the panic_data_models_merged.zip from the project's drive folder, and merge it with this repo's file structure.

genshin 3d

# run the downloader
bash ./_scripts/download_genshin_3d.sh

genshin 2d

# run the downloader
python3 -m _scripts.download_genshin_2d

hololive 3d

# follow the instructions in `./_scripts/download_hololive_3d.txt`

hololive 2d

# run the downloader
python3 -m _scripts.download_hololive_2d

citing

If you use our repo, please cite our work:

@inproceedings{chen2023panic3d,
    title={PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters},
    author={Chen, Shuhong and Zhang, Kevin and Shi, Yichun and Wang, Heng and Zhu, Yiheng and Song, Guoxian and An, Sizhe and Kristjansson, Janus and Yang, Xiao and Matthias Zwicker},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2023}
}