Skeleton-Aided Articulated Motion Generation

Abstract

This work makes the first attempt to generate articulated human motion sequence from a single image. On one hand, we utilize paired inputs including human skeleton information as motion embedding and a single human image as appearance reference, to generate novel motion frames based on the conditional GAN infrastructure. On the other hand, a triplet loss is… (More)
DOI: 10.1145/3123266.3123277

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