Dmitrii Shevchenko
Metadata-Based Rigging Pipeline
Summary
This project presents a modular rigging pipeline that enables user to create rigs using either Python API directly or via node-based interface. The system aims to be extensible, allowing rigger to add new custom rig components or extend already existing ones. In order to be tool-oriented this pipeline utilizes metadata concept and component to Python class bindings which leads to consistent functionality for any additional tools.
Thesis Metadata-Based Rigging Pipeline