diff options
| -rw-r--r-- | README.md | 21 |
1 files changed, 18 insertions, 3 deletions
@@ -154,10 +154,25 @@ python datasets/combine_A_and_B.py --fold_A /path/to/data/A --fold_B /path/to/da This will combine each pair of images (A,B) into a single image file, ready for training. -## TODO -- add reflection and other padding layers. +## Citation +If you use this code for your research, please cite our papers. +``` +@article{CycleGAN2017, + title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks}, + author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A}, + journal={arXiv preprint arXiv:1703.10593}, + year={2017} +} + +@article{pix2pix2016, + title={Image-to-Image Translation with Conditional Adversarial Networks}, + author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A}, + journal={arxiv}, + year={2016} +} +``` -## Related Projects: +## Related Projects [CycleGAN](https://github.com/junyanz/CycleGAN): Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [pix2pix](https://github.com/phillipi/pix2pix): Image-to-image translation with conditional adversarial nets [iGAN](https://github.com/junyanz/iGAN): Interactive Image Generation via Generative Adversarial Networks |