liuhd073 / InstaFormer

Official repository for InstaFormer: Instance-aware Image-to-Image Translation with Transformer (CVPR 2022)

Instance-aware Image-to-Image Translation with Transformer (CVPR 2022)

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].

Environment

• Python 3.8, PyTorch 1.11.0

Datasets

• INIT [dataset]

Training & Test Script

• train

train.py

• test

test.py

Config Path

config/base_train.yaml

config/base_test.yaml

BibTeX

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}
}