Deformation Field
A formulation that models deformation as a continuous function in space, in which a network learns a mapping from 3D coordinates to displacement vectors, so that querying any vertex position yields its deformation and topology constraints are circumvented.
Timeline (last 90 days)
The study proposes a fixed set of expression blendshapes for commercial anime-style 3D characters, generating deformation fields via a neural network and introducing mechanisms such as anchor-part coordination, zero-displacement prediction and symmetry enhancement.
Individually, deformation fields, anchor coordination, zero-displacement prediction, size-based grouping, and symmetry enhancement are not novel, but together they form a deployable pipeline.
All Facts (2)
The study proposes a fixed set of expression blendshapes for commercial anime-style 3D characters, generating deformation fields via a neural network and introducing mechanisms such as anchor-part coordination, zero-displacement prediction and symmetry enhancement.
50%UnverifiedIndividually, deformation fields, anchor coordination, zero-displacement prediction, size-based grouping, and symmetry enhancement are not novel, but together they form a deployable pipeline.
50%