  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.
