karfly/learnable-triangulation-pytorch

Health v2 · maintenance only

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1135 stars · 184 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of the ICCV 2019 paper 'Learnable Triangulation of Human Pose', providing algebraic and volumetric learnable triangulation methods for multi-view 3D human pose estimation. It includes training and evaluation pipelines, pretrained models, and configs for the Human3.6M dataset.

Use cases

• estimate 3d human pose from multiple camera views
• reproduce state-of-the-art multi-view pose estimation results
• train a 3d pose model on human3.6m
• evaluate pretrained 3d pose estimation models
• research learnable triangulation methods
• get 3d skeletons from calibrated multi-camera video

When to choose

• you need multi-view 3D human pose estimation with pretrained models
• you want to reproduce or build on the ICCV 2019 learnable triangulation paper
• you work with the Human3.6M dataset in PyTorch

When to avoid

• you need single-camera 3D pose estimation
• you need datasets other than Human3.6M, such as CMU Panoptic
• you need a production-ready, actively maintained pose estimation service

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision computer-vision machine-learning deep-learning python 3d-human-pose-estimation multi-view triangulation pytorch research-code iccv-2019

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