Shypd.aiThe largest open index of AI toolsMotioNet is a deep neural network that reconstructs 3D human skeletal motion from monocular video. It directly outputs BVH files without post-processing, making it efficient for animation workflows.
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MotioNet is a deep neural network designed to reconstruct 3D human skeletal motion directly from monocular video. This library provides the source code for the network, which is based on a common motion representation. A key feature is its ability to output BVH files directly, eliminating the need for additional post-processing steps. The tool supports evaluation on both Human3.6m and wild videos, with integration for 2D pose detection tools like Openpose. Users can train models from scratch with customizable parameters or utilize provided pre-trained models for quick starts. It offers visualization through TensorBoardX for tracking training progress and includes detailed instructions for data preparation and testing. While powerful, it has limitations regarding moving cameras and dependence on 2D detection accuracy, which users should consider.
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