# akashsengupta1997/HierarchicalProbabilistic3DHuman

<https://repo.masters-masters.com/en/repos/akashsengupta1997/HierarchicalProbabilistic3DHuman>

[Home](https://repo.masters-masters.com/en) › [akashsengupta1997](https://repo.masters-masters.com/en/owners/akashsengupta1997) › [HierarchicalProbabilistic3DHuman](https://repo.masters-masters.com/en/repos/akashsengupta1997/HierarchicalProbabilistic3DHuman)

akashsengupta1997/HierarchicalProbabilistic3DHuman has 203 stars on GitHub. Its RepoMasters card: Prototype tier. Code repository for the paper: Hierarchical…

| Field | Value |
| --- | --- |
| Owner | [akashsengupta1997](https://repo.masters-masters.com/en/owners/akashsengupta1997) |
| Stars | 203 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | computer-vision, machine-learning, deep-learning, human-pose, human-shape-recover, probabilistic-machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [akashsengupta1997/HierarchicalProbabilistic3DHuman](https://github.com/akashsengupta1997/HierarchicalProbabilistic3DHuman) |

## Repository

Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

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

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