Synthesizing human-like sketches from natural images using a conditional convolutional decoder
Synthesizing human-like sketches from natural images using a conditional convolutional decoder
Humans are able to precisely communicate diverse concepts by employing sketches, a highly reduced and abstract shape based representation of visual content. We propose, for the first time, a fully convolutional end-to-end architecture that is able to synthesize human-like sketches of objects in natural images with potentially cluttered background. To …