Skin Tokens: A Learned Compact Representation for Unified Autoregressive Rigging
SkinTokens transform skinning from a difficult regression problem into a discrete token prediction task using an FSQ-CVAE. TokenRig is an end-to-end autoregressive framework that generates skeletons and skinning weights simultaneously. This unified approach learns complex dependencies between bone placement and surface deformation, improving rigging accuracy significantly.