Header | Description |
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Real-Time Human Motion Capture with Multiple Depth Cameras | Contains links to paper, pretrained models, dataset and code. (Caffe) |
Convolutional Pose Machines (paper) | Based on landmarks pose detection. |
Convolutional Pose Machines (git) | Convolutional Pose Machines githab |
Stacked Hourglass Networks for Human Pose Estimation (paper) | Improved approach for pose detection task |
Stacked Hourglass Networks for Human Pose Estimation | Project page contains links to github and pretrained models (Torch) |
Learning from Synthetic Humans (paper) | Howto generate additional dataset. Gets additional boost when train "Stacked Hourglass" |
Learning from Synthetic Humans | Project page: code & data |
MILLIMETER-WAVE SCENE SIMULATION USING BLENDER (paper) | A MMW scene simulator can be key tool to assess the performance of a MMW imaging system |
ML SMPL | A Skinned Multi-Person Linear Model |
Human3.6m | 3.6 million 3D human poses and corresponding images |
MPII Human Pose Dataset | The dataset includes around 25K images containing over 40K people with annotated body joints |
Leeds Sports Pose (LSP) Dataset | This dataset contains 2000 pose annotated images of mostly sports |
OpenNI | The OpenNI framework is an open source SDK used for the development of 3D sensing middleware libraries and applications. |
Blender 3D | Blender is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, even video editing and game creation. |
Forum about creation human 3D moddeling | Rus discussion abount creation 3D moddeling of human |
CAESAR | The most comprehensive source for body measurement data |
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Repository for PSAC-2017 competition
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