Dense Human Correspondences using Convolutional NetworksOctober 19, 2016 Track: General We introduce a deep neural network structure for computing dense correspondences between shapes of clothed subjects in arbitrary poses. We demonstrate the effectiveness of this method by matching full or partial scans of people with arbitrary clothing and poses. Speaker(s)
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