# cure-lab/SmoothNet

<https://repo.masters-masters.com/en/repos/cure-lab/SmoothNet>

[Home](https://repo.masters-masters.com/en) › [cure-lab](https://repo.masters-masters.com/en/owners/cure-lab) › [SmoothNet](https://repo.masters-masters.com/en/repos/cure-lab/SmoothNet)

cure-lab/SmoothNet has 430 stars on GitHub. Its RepoMasters card: Alpha tier. \[ECCV 2022\] Official implementation of the paper "SmoothNet: A Plug-and-Play…

| Field | Value |
| --- | --- |
| Owner | [cure-lab](https://repo.masters-masters.com/en/owners/cure-lab) |
| Stars | 430 |
| Forks | 43 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | 2d-pose-estimation, 3d-pose-estimation, body-reconstruction, human-pose-estimation, motion-estimation, pose-detection, pose-estimation, smoothing, temporal-models, eccv |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [cure-lab/SmoothNet](https://github.com/cure-lab/SmoothNet) |

## Repository

\[ECCV 2022\] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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