Jake Snell

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Deep networks are increasingly being applied to problems involving image synthesis , e.g., generating images from textual descriptions, or generating reconstructions of an input image in an autoencoder architecture. Supervised training of image-synthesis networks typically uses a pixel-wise squared error (SE) loss to indicate the mismatch between a(More)
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