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Found 2 papers, 1 papers with code
Editing in Style: Uncovering the Local Semantics of GANs
Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-aware edits to a target output image.
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
We propose a new approach, called cooperative neural networks (CoNN), which uses a set of cooperatively trained neural networks to capture latent representations that exploit prior given independence structure.
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