Name
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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Graphics | k-nearest neighbors algorithm,Computer vision,Generalization,Computer science,Pairing,Artificial intelligence,Face detection,Generative grammar,Generative model,Salient |
DocType | Volume | Citations |
Journal | abs/1806.09070 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Chao | 1 | 1 | 0.35 |
| Alexander Li | 2 | 1 | 1.03 |
| Gokul Swamy | 3 | 4 | 1.14 |