This is the implementation of the paper Instance-Aware Image-to-Image Translation with Transformer by Kim et al.
You can check out project at [Project Page] and the paper on [arXiv].
- Python 3.8, PyTorch 1.11.0
- INIT [dataset]
- train
train.py
- test
test.py
config/base_train.yaml
config/base_test.yaml
If you find this research useful, please consider citing:
@inproceedings{kim2022instaformer,
title={InstaFormer: Instance-Aware Image-to-Image Translation with Transformer},
author={Kim, Soohyun and Baek, Jongbeom and Park, Jihye and Kim, Gyeongnyeon and Kim, Seungryong},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={18321--18331},
year={2022}
}