Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators

Abstract
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...
Paper Details
Title
Facial Synthesis from Visual Attributes via Sketch using Multi-Scale Generators
Published Date
Dec 17, 2019
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