Methods › General › Augmented Reality Methods › ARShoe
ARShoe
Introduced by Shan An et al. in ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ARShoe is a multi-branch network for pose estimation and segmentation tackling the "try-on" problem for augmented reality shoes. Consisting of an encoder and a decoder, the multi-branch network is trained to predict keypoints heatmap (heatmap), PAFs heatmap (pafmap), and segmentation results (segmap) simultaneously. Post processes are then performed for a smooth and realistic virtual try-on.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones 24 Aug 2021 · 0 repositories · arXiv:2108.10515
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Pose Estimation | 1 |
| Virtual Try-on | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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