karfly/learnable-triangulation-pytorch
A PyTorch implementation of a 2019 ICCV oral paper on learnable triangulation for multi-view 3D human pose estimation.

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This repository implements two novel methods for 3D human pose estimation from multiple camera views: Algebraic and Volumetric learnable triangulation. It uses a ResNet backbone trained on COCO, MPII, and Human3.6M datasets. The project provides training and evaluation code for reconstructing 3D human poses from 2D keypoint detections across multiple views.
Frequently asked
- What is karfly/learnable-triangulation-pytorch?
- A PyTorch implementation of a 2019 ICCV oral paper on learnable triangulation for multi-view 3D human pose estimation.
- Is learnable-triangulation-pytorch open source?
- Yes — karfly/learnable-triangulation-pytorch is open source, released under the MIT license.
- What language is learnable-triangulation-pytorch written in?
- karfly/learnable-triangulation-pytorch is primarily written in Python.
- How popular is learnable-triangulation-pytorch?
- karfly/learnable-triangulation-pytorch has 1.1k stars on GitHub.
- Where can I find learnable-triangulation-pytorch?
- karfly/learnable-triangulation-pytorch is on GitHub at https://github.com/karfly/learnable-triangulation-pytorch.