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Found 3 papers, 2 papers with code
Unsupervised Attention-guided Image-to-Image Translation
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.
Generating Object Stamps
We present an algorithm to generate diverse foreground objects and composite them into background images using a GAN architecture.
Look here! A parametric learning based approach to redirect visual attention
Extensions of our model allow for multi-style edits and the ability to both increase and attenuate attention in an image region.
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