Using DenseNet for human pose estimation based on TensorFlow.
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Updated
Sep 24, 2017 - Python
Using DenseNet for human pose estimation based on TensorFlow.
This is the proposal network for MultiPerson Pose Estimation.
Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
Python based person tracking
2D human pose estimation with DSNT
Demo for "MoSculp: Interactive Visualization of Shape and Time"
Keras Implementation for Stacked Hourglass Network
Convolutional Pose Machines in lower end devices
Lightweight Real-time 3D multi-person detection using the ZED in Python
pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)
Change "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image" to video input implementation
pytorch version of "End-to-end Recovery of Human Shape and Pose"
Study for Openpose
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