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Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
[article]
2017
arXiv
pre-print
Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of deep generative convolutional neural networks (CNNs), attempts have been made to synthesize face images from attributes and text descriptions. In this paper, we take a different approach, where we formulate the original problem as a stage-wise learning problem. We first synthesize the facial sketch corresponding to the
arXiv:1801.00077v1
fatcat:nrtlzlfvlzb7dbdkz56cobb3u4