Ha0Tang/AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Implements dual attention mechanisms that separately learn foreground and background transformations, enabling selective feature generation while preserving source image context. Built on PyTorch with support for both paired and unpaired datasets, it includes variants for geometric domain shifts and multi-domain translation tasks. Provides pretrained models and visualization of learned attention masks to interpret which image regions drive the translation decisions.
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Last pushed
Jul 06, 2023
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