AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

27 Nov 2019 Hao Tang Hong Liu Dan Xu Philip H. S. Torr Nicu Sebe

State-of-the-art methods in the unpaired image-to-image translation are capable of learning a mapping from a source domain to a target domain with unpaired image data. Though the existing methods have achieved promising results, they still produce unsatisfied artifacts, being able to convert low-level information while limited in transforming high-level semantics of input images... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Facial Expression Translation AR Face AttentionGAN AMT 12.8 # 1
PSNR 14.9187 # 1
Facial Expression Translation CelebA AttentionGAN AMT 38.9 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet