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Diversity Augmented Conditional Generative Adversarial Network for Enhanced Multimodal Image-to-Image Translation

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Abstract

Conditional generative adversarial networks (cGANs) play an important role in multimodal image-to-image translation. We propose Diversity Augmented conditional Generative Adversarial Network (DivAugGAN), a highly effective solution to further resolve the mode collapse problem and enhance the diversity for the generated images... (read more)

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https://openreview.net/pdf?id=JmnFvgMSjgg

0001-01-01 -