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| author | junyanz <junyanz@berkeley.edu> | 2017-05-02 20:26:39 -0700 |
|---|---|---|
| committer | junyanz <junyanz@berkeley.edu> | 2017-05-02 20:26:39 -0700 |
| commit | 349614a2f168654ba59bf1461ea61e1cb9358eb6 (patch) | |
| tree | be9829470eb5dddc673b9019f552a1292f2e3ecf /README.md | |
| parent | e9146a659a896fc71ebf59cc57248449091e8d16 (diff) | |
use InstanceNorm2d from the latest pytorch
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 0 insertions, 4 deletions
@@ -143,11 +143,7 @@ This will combine each pair of images (A,B) into a single image file, ready for ## TODO - add reflection and other padding layers. -- add one-direction test mode for CycleGAN. - add more preprocessing options. -- fully test Unet architecture. -- fully test instance normalization layer from [fast-neural-style project](https://github.com/darkstar112358/fast-neural-style). -- fully test CPU mode and multi-GPU mode. ## Related Projects: [CycleGAN](https://github.com/junyanz/CycleGAN): Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks |
