license: mit
task_categories:
- text-to-image
language:
- en
HumanRefiner
Introduction
Welcome to the official code repository for the paper "HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance."
In this project, we introduce AbHuman, the first large-scale benchmark focused on anatomical anomalies. The benchmark consists of 56K synthesized human images, each annotated with 147K human anomalies in 18 different categories. Based on this, we developed HumanRefiner, a novel plug-and-play method for coarse-to-fine refinement of human anomalies.
Data
Our data is available on 🤗 Hugging Face.
To download the dataset, use the following commands:
git lfs install
git clone https://huggingface.co/datasets/Enderfga/HumanRefiner
After cloning, extract the train and validation datasets:
tar -xzf train.zip
tar -xzf val.zip
Annotation Examples
Below is a detailed illustration of class definitions with visualized examples from the AbHuman dataset:
Cite
If you use our work in your research, please cite our paper:
@misc{fang2024humanrefinerbenchmarkingabnormalhuman,
title={HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance},
author={Guian Fang and Wenbiao Yan and Yuanfan Guo and Jianhua Han and Zutao Jiang and Hang Xu and Shengcai Liao and Xiaodan Liang},
year={2024},
eprint={2407.06937},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.06937},
}
Contact
If you have any questions or suggestions, please contact us:
- Email: enderfga@gmail.com
- GitHub Issues: HumanRefiner Issues
Thank you for your support!