| split | PSNR |
|---|---|
| val n=60 | -0.1049 |
- 30 epochs on the summer2winter_yosemite set, not the 100 the other CycleGAN runs used. The run was stopped early: the GPU dropped to half its clock (1035 of 2100 MHz, 46 of 110 W) and an epoch went from 7 to 29 minutes, which put the remaining 70 epochs at about 34 hours for a cycle-consistency gain of 0.009 per 10 epochs. - Samples show the same inputs translated at epochs 5 through 30, so the trend over training is visible even though the budget is shorter than apple2orange's.






Code and full results on GitHub
Every number is read from the file the run produced. github.com/hammasbuilds · kaggle.com/muhammadhammas13