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Improved Training of Wasserstein GANs

Introduction

@article{gulrajani2017improved,
  title={Improved Training of Wasserstein GANs},
  author={Gulrajani, Ishaan and Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron},
  journal={arXiv preprint arXiv:1704.00028},
  year={2017}
}

Results and models

WGAN-GP 128, CelebA-Cropped
Models Dataset Details SWD MS-SSIM Config Download
WGAN-GP 128 CelebA-Cropped GN 5.87, 9.76, 9.43, 18.84/10.97 0.2601 config model
WGAN-GP 128 LSUN-Bedroom GN, GP-lambda = 50 11.7, 7.87, 9.82, 25.36/13.69 0.059 config model