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2018

Generative Models for Pose Transfer

Chao, Patrick, Li, Alexander, Swamy, Gokul

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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.

Generative Models for Pose Transfer · Around

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“DeepPose: Human Pose Estimation via Deep Neural Networks”
Original
Alexander Toshev and Christian Szegedy · 2013
Earlier work this paper cites.
“Image-to-Image Translation with Conditional Adversarial Networks”
Original
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou and Alexei. Efros · 2016
Earlier work this paper cites.
“Deep Video Generation, Prediction and Completion of Human Action Sequences”
Original
Haoye Cai, Chunyan Bai, Yu-Wing Tai and Chi-Keung Tang · 2017
Earlier work this paper cites.

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Then

“VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera”
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Later among the works it cites.
“Here Come the Fake Videos, Too”
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Closest in time.

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