akashsengupta1997 / HierarchicalProbabilistic3DHuman

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

Date Created 2021-10-02 (2 years ago)

Commits 119 (last one about a year ago)

Stargazers 191 (0 this week)

Watchers 8 (0 this week)

Forks 12

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RepositoryStats indexes 534,880 repositories, of these akashsengupta1997/HierarchicalProbabilistic3DHuman is ranked #174,044 (67th percentile) for total stargazers, and #236,088 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,162/103,597.

akashsengupta1997/HierarchicalProbabilistic3DHuman is also tagged with popular topics, for these it's ranked: deep-learning (#3,423/7826), machine-learning (#3,207/7374), computer-vision (#1,143/2822)

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akashsengupta1997/HierarchicalProbabilistic3DHuman has Github issues enabled, there are 5 open issues and 11 closed issues.

All Topics

human-pose deep-learning computer-vision machine-learning human-shape-recover probabilistic-machine-learning

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8 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-06-21 @ 05:40pm, id: 412932978 / R_kgDOGJzbcg