Introduces semantic constraints to reduce bias-induced unwanted changes in diverse unpaired image-to-image translation while preserving desired transformations and output diversity.
Representation learning: A review and new perspectives
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Controlling biases and diversity in diverse image-to-image translation
Introduces semantic constraints to reduce bias-induced unwanted changes in diverse unpaired image-to-image translation while preserving desired transformations and output diversity.