# hongsukchoi/3DCrowdNet\_RELEASE

<https://repo.masters-masters.com/en/repos/hongsukchoi/3DCrowdNet_RELEASE>

[Home](https://repo.masters-masters.com/en) › [hongsukchoi](https://repo.masters-masters.com/en/owners/hongsukchoi) › [3DCrowdNet\_RELEASE](https://repo.masters-masters.com/en/repos/hongsukchoi/3DCrowdNet_RELEASE)

hongsukchoi/3DCrowdNet\_RELEASE has 162 stars on GitHub. Its RepoMasters card: Prototype tier. Official Pytorch implementation of "Learning to Estimate Robust…

| Field | Value |
| --- | --- |
| Owner | [hongsukchoi](https://repo.masters-masters.com/en/owners/hongsukchoi) |
| Stars | 162 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | crowded-scenes, pose-estimation, 3d-human-mesh, 3d-human-shape-and-pose-estimation, cvpr2022, monocular-images |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hongsukchoi/3DCrowdNet\_RELEASE](https://github.com/hongsukchoi/3DCrowdNet_RELEASE) |

## Repository

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.