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.