Unsupervised Attention-guided Image-to-Image Translation

NeurIPS 2018 Youssef Alami MejjatiChristian RichardtJames TompkinDarren CoskerKwang In Kim

Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene. Motivated by the important role of attention in human perception, we tackle this limitation by introducing unsupervised attention mechanisms which are jointly adversarially trained with the generators and discriminators... (read more)

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