Enhanced Direct Delta Mush
Serguei Kalentchouk, Michael Hutchinson, Deepak Tolani

TL;DR
This paper extends the Direct Delta Mush skinning technique to handle non-rigid joint transformations, improving its applicability and stability for production use.
Contribution
It introduces an extension to Direct Delta Mush that incorporates non-rigid joint transformations and discusses practical implementation considerations.
Findings
Enhanced deformation quality with non-rigid transformations
Improved stability and computational considerations
Broader applicability for production environments
Abstract
Direct Delta Mush is a novel skinning deformation technique introduced by Le and Lewis (2019). It generalizes the iterative Delta Mush algorithm of Mancewicz et al (2014), providing a direct solution with improved efficiency and control. Compared to Linear Blend Skinning, Direct Delta Mush offers better quality of deformations and ease of authoring at comparable performance. However, Direct Delta Mush does not handle non-rigid joint transformations correctly which limits its application for most production environments. This paper presents an extension to Direct Delta Mush that integrates the non-rigid part of joint transformations into the algorithm. In addition, the paper also describes practical considerations for computing the orthogonal component of the transformation and stability issues observed during the implementation and testing.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
