An official PyTorch implementation of the paper "Dense Interspecies Face Embedding".
Dense Interspecies Face Embedding
Sejong Yang1,
Subin Jeon1,
Seonghyeon Nam2,
Seon Joo Kim1
1Yonsei University, 2York University
in NeurIPS 2022
- Inference for single image
- Training
- Experiment
- Interspecies keypoint transfer
- Interspecies face parsing
- Demo with streamlit
- Build image
$ cd docker
$ docker build -t dife .
$ cd ..
- Run docker container and access
$ docker run -ti -d --gpus=all --name=dife -v .:/workspace --ipc=host dife
$ docker exec -ti dife /bin/bash
# (Do something)
# python download.py --key model-human+dog
# python download.py --
# python inference.py --image_path demo/human_000001.png
# python inference.py --image_path demo/dog_000001.png
@inproceedings{yang2022dife,
title={Dense Interspecies Face Embedding},
author={Sejong Yang and Subin Jeon and Seonghyeon Nam and Seon Joo Kim},
year={2022},
booktitle={NeurIPS},
}