https://github.com/hyperplane-lab/acl-gan-page
https://github.com/hyperplane-lab/acl-gan-page
Last synced: 9 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/hyperplane-lab/acl-gan-page
- Owner: hyperplane-lab
- License: other
- Created: 2020-10-15T15:18:44.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-12-05T15:09:10.000Z (over 4 years ago)
- Last Synced: 2025-06-21T07:04:48.889Z (10 months ago)
- Language: Python
- Size: 8.55 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
### Paper
Yihao Zhao, Ruihai Wu, Hao Dong, ["Unpaired Image-to-Image Translation using Adversarial Consistency Loss"](https://arxiv.org/abs/2003.04858 ), ECCV 2020
[arXiv](https://arxiv.org/abs/2003.04858)
[project page](https://hyperplane-lab.github.io/acl-gan-page/)
### Code usage
For environment:
`conda env create -f acl-gan.yaml`
For training:
`python train.py --config configs/male2female.yaml`
For test:
`python test.py --config configs/male2female.yaml --input inputs/test_male.jpg --checkpoint ./models/test.pth`
### Experimental Results
##### Ablation study
##### Male-to-female
##### Glasses Removal
##### Selfie-to-anime
For more results, please refer to our paper.
### Citation
If you find this code useful for your research, please cite our paper:
```
@inproceedings{zhao2020aclgan,
title={Unpaired Image-to-Image Translation using Adversarial Consistency Loss},
author={Zhao, Yihao and Wu, Ruihai and Dong, Hao},
booktitle={ECCV},
year={2020}
}
```