Generative Models for Pose Transfer

Patrick Chao; Alexander Li; Gokul Swamy

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arXiv · 1806.09070

Generative Models for Pose Transfer

Patrick Chao·Alexander Li·Gokul Swamy

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Abstract

We investigate nearest neighbor and generative models for transferring pose between persons. We take in a video of one person performing a sequence of actions and attempt to generate a video of another person performing the same actions. Our generative model (pix2pix) outperforms k-NN at both generating corresponding frames and generalizing outside the demonstrated action set. Our most salient contribution is determining a pipeline (pose detection, face detection, k-NN based pairing) that is effective at perform-ing the desired task. We also detail several iterative improvements and failure modes.

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Patrick Chao, Alexander Li, Gokul Swamy. 2018-06-24. Generative Models for Pose Transfer. https://arxiv.org/abs/1806.09070

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