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Rumba Rig: A Procedural Rigging Framework with Direct Graph-Based Control

Florian Canezin, Xing Ye, Cyril Corvazier

DigiProIndustrial0 citesRigging

Procedural rigging framework using a direct graph-based control model enabling flexible, maintainable character rig construction.

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Abstract

We present Rumba Rig, a new rigging framework that enables riggers to work directly on the final rig graph in a modular and non-linear way, without the need of auto-rig script or abstraction layer. By reducing complexity, the framework makes rigging more accessible and easier to maintain. We demonstrate through practical examples that Rumba Rig is able to express complex rig constructions and delivers professional-quality rigs.

How to read this

Category: Production rigging framework: direct graph-based control
Contributions: Rumba Rig, a framework letting riggers work directly on the final rig graph in a modular, non-linear way
Removal of the auto-rig script and abstraction layer, reducing complexity and easing maintenance
Practical examples showing it expresses complex rig constructions at professional quality
Context: Relates to dependency-graph character-animation systems such as LibEE (Watt et al. 2012), emphasizing direct, maintainable graph authoring over scripted abstraction layers.Builds on: LibEE: A Multithreaded Dependency Graph for Character Animation
Correctness: A production-tooling contribution validated by demonstrated rig constructions rather than quantitative evaluation; benefits in accessibility and maintainability are argued qualitatively, so judge by the examples and your own pipeline fit.
Clarity: Workflow-oriented and accessible; a first pass conveys the direct-graph philosophy and trade-offs.
How to read it: Read for the design rationale of dropping the abstraction layer and how complex rigs are still expressed; one pass suffices unless you are evaluating it against your own rig-graph tooling.

Builds on

LibEE: A Multithreaded Dependency Graph for Character Animation 2012

Built upon by

Nothing yet.

Related work

Maya 2020 | Proximity Wrap Deformer 2019 / Maya
Learning an Inverse Rig Mapping for Character Animation 2015 / SCA
Position Manipulation Techniques for Facial Animation 2016 / PhD Thesis
Stable and Efficient Differential IK 2010 / SIGGRAPH Asia

Keywords

procedural rigging rig graph nodal graph skeleton modules rest value evaluation bind pose inverse kinematics skinning wrap deformer corrective blend shapes uvn space nurbs surface curve skeleton elements radial basis function interpolation natural-neighbor interpolation facial rig partial invalidation rig-on-shot deformers

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