├── README.md ├── fid_keras.py ├── lab ├── README.md ├── sgan_deconv_no_sn_loss_bias.py ├── t_sagan_celeba.py ├── t_sagan_u_celeba.py ├── t_sgan_pair_aug.py ├── t_sgan_sn_deconv.py ├── t_sgan_sn_upsample.py └── tsgan_deconv_no_sn_loss_bias.py ├── paper - Training Generative Adversarial Networks Via Turing Test.pdf ├── sgan_sn_cifar10.py ├── t_sgan_sn_celeba_128.py ├── t_sgan_sn_celeba_256.py ├── t_sgan_sn_celeba_64.py ├── t_sgan_sn_cifar10.py ├── t_wgan_sn_celeba_128.py ├── t_wgan_sn_celeba_256.py └── t_wgan_sn_celeba_64.py /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/README.md -------------------------------------------------------------------------------- /fid_keras.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/fid_keras.py -------------------------------------------------------------------------------- /lab/README.md: -------------------------------------------------------------------------------- 1 | # something still groping 2 | 3 | 试图整理一个易于拓展的GAN模型（基于Keras，无需修改源码）。 4 | -------------------------------------------------------------------------------- /lab/sgan_deconv_no_sn_loss_bias.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/sgan_deconv_no_sn_loss_bias.py -------------------------------------------------------------------------------- /lab/t_sagan_celeba.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/t_sagan_celeba.py -------------------------------------------------------------------------------- /lab/t_sagan_u_celeba.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/t_sagan_u_celeba.py -------------------------------------------------------------------------------- /lab/t_sgan_pair_aug.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/t_sgan_pair_aug.py -------------------------------------------------------------------------------- /lab/t_sgan_sn_deconv.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/t_sgan_sn_deconv.py -------------------------------------------------------------------------------- /lab/t_sgan_sn_upsample.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/t_sgan_sn_upsample.py -------------------------------------------------------------------------------- /lab/tsgan_deconv_no_sn_loss_bias.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/lab/tsgan_deconv_no_sn_loss_bias.py -------------------------------------------------------------------------------- /paper - Training Generative Adversarial Networks Via Turing Test.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/paper - Training Generative Adversarial Networks Via Turing Test.pdf -------------------------------------------------------------------------------- /sgan_sn_cifar10.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/sgan_sn_cifar10.py -------------------------------------------------------------------------------- /t_sgan_sn_celeba_128.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_sgan_sn_celeba_128.py -------------------------------------------------------------------------------- /t_sgan_sn_celeba_256.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_sgan_sn_celeba_256.py -------------------------------------------------------------------------------- /t_sgan_sn_celeba_64.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_sgan_sn_celeba_64.py -------------------------------------------------------------------------------- /t_sgan_sn_cifar10.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_sgan_sn_cifar10.py -------------------------------------------------------------------------------- /t_wgan_sn_celeba_128.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_wgan_sn_celeba_128.py -------------------------------------------------------------------------------- /t_wgan_sn_celeba_256.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_wgan_sn_celeba_256.py -------------------------------------------------------------------------------- /t_wgan_sn_celeba_64.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/bojone/T-GANs/HEAD/t_wgan_sn_celeba_64.py --------------------------------------------------------------------------------