StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

CVPR 2018 Yunjey ChoiMinje ChoiMunyoung KimJung-Woo HaSunghun KimJaegul Choo

Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Image-to-Image Translation RaFD StarGAN Classification Error 2.12% # 1