A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
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Updated
Apr 28, 2022 - Python
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
Convert video to the bvh motion file
This repository provides scripts that can be used to visualize BVH files. These scripts were developed for the GENEA Challenge 2020, and enables reproducing the visualizations used for the challenge stimuli. The server consists of several containers which are launched together with the docker-compose.
Hand Motion Capture from a 3D Leap Motion Controller for a Musculoskeletal Dynamic Simulation implemented in Python
➿A rerun plugin and tools for 3D animation
Automatic motion generator from existing amc and asf files or bvh file
Celltree data structure for searching for points, lines, boxes, and cells (convex polygons) in a two dimensional unstructured mesh.
Python utilities for reading and rendering Biovision Hierarchy skeleton and motion capture data
A Blender add-on for easy creation of proxy meshes for a selected armature object
Classification of movement types like walking, running using motion capture(BVH) file from CMU dataset.
visualize BVH file skeletons using graphviz
Python module to import, parse and elaborate BVH files
Personal notebook on various maths and coding topics
Python code to save and write BVH files in convert animation data to various representations, with examples.
A memory-efficient, realistic, real-time controllable locomotion generator.
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