CycleGAN (ICCV'2017)
@inproceedings{zhu2017unpaired,
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},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={2223--2232},
year={2017}
}We use FID and IS metrics to evaluate the generation performance of CycleGAN.
| Method | FID | IS | Download |
|---|---|---|---|
| official facades | 123.626 | 1.638 | - |
| ours facades | 118.297 | 1.584 | model | log |
| official facades-id0 | 119.726 | 1.697 | - |
| ours facades-id0 | 126.316 | 1.957 | model | log |
| official summer2winter | 77.342 | 2.762 | - |
| ours summer2winter | 76.959 | 2.768 | model | log |
| official winter2summer | 72.631 | 3.293 | - |
| ours winter2summer | 72.803 | 3.069 | model | log |
| official summer2winter-id0 | 76.773 | 2.750 | - |
| ours summer2winter-id0 | 76.018 | 2.735 | model | log |
| official winter2summer-id0 | 74.239 | 3.110 | - |
| ours winter2summer-id0 | 73.498 | 3.130 | model | log |
| official horse2zebra | 62.111 | 1.375 | - |
| ours horse2zebra | 63.810 | 1.430 | model | log |
| official horse2zebra-id0 | 77.202 | 1.584 | - |
| ours horse2zebra-id0 | 71.675 | 1.542 | model | log |
| official horse2zebra | 138.646 | 3.186 | - |
| ours zebra2horse | 139.279 | 3.093 | model | log |
| official horse2zebra-id0 | 137.050 | 3.047 | - |
| ours zebra2horse-id0 | 132.369 | 2.958 | model | log |
| official average | 95.935 | 2.444 | - |
| ours average | 95.102 | 2.427 | - |
Note: With a larger identity loss, the image-to-image translation becomes more conservative, which makes less changes. The original authors did not say what is the best weight for identity loss. Thus, in addition to the default setting, we also set the weight of identity loss to 0 (denoting id0 ) to make a more comprehensive comparison.