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Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

This is the authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

Run Inference for demo (with openpose)

  1. Download openpose pretrained model
  2. Run Inference
    • python bin/demo.py sample/image.png --lift_model sample/gen_epoch_500.npz --model2d pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt
    • Need OpenCV >= 3.4
      • < 3.3 results extreamly wrong estimation

Dependencies(Recommended versions)

Training

Human3.6M dataset

MPII dataset

TBA

MPI-INF-3DHP dataset

TBA

Evaluation

python bin/eval.py results/hoge/gen_epoch_*.npz