From b4a405253e74d1812ce1067d8127d6fd7fc0352f Mon Sep 17 00:00:00 2001 From: junyanz Date: Tue, 18 Apr 2017 04:12:22 -0700 Subject: update README --- README.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 2d10583..1be7afa 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,12 @@ -


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# CycleGAN and pix2pix in PyTorch -This is our ongoing PyTorch implementation for both unpaired and paired image-to-image translation. Check out the original [CycleGAN Torch](https://github.com/junyanz/CycleGAN) and [pix2pix Torch](https://github.com/phillipi/pix2pix) if you would like to reproduce the exact same results in the paper. The code was written by [Jun-Yan Zhu](https://github.com/junyanz) and [Taesung Park](https://github.com/taesung89). +This is our ongoing PyTorch implementation for both unpaired and paired image-to-image translation. Check out the original [CycleGAN Torch](https://github.com/junyanz/CycleGAN) and [pix2pix Torch](https://github.com/phillipi/pix2pix) if you would like to reproduce the exact same results in the paper. + +The code was written by [Jun-Yan Zhu](https://github.com/junyanz) and [Taesung Park](https://github.com/taesung89). #### CycleGAN: [[Project]](https://junyanz.github.io/CycleGAN/) [[Paper]](https://arxiv.org/pdf/1703.10593.pdf) [[Torch]](https://github.com/junyanz/CycleGAN) @@ -129,10 +131,11 @@ 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 Unet architecture -- add one-direction test model -- fully test instance normalization from [fast-neural-style project](https://github.com/darkstar112358/fast-neural-style) -- fully test CPU mode and multi-GPU mode +- add reflection and other padding layers. +- add one-direction test model. +- 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 -- cgit v1.2.3-70-g09d2