Text2Motion: From Text to 3D Animation for Any Mesh

This post introduces Text2Motion, a three-stage pipeline that automates the full 3D character animation workflow — from static meshes to text-aligned motion sequences.

The project tackles three core challenges: automatic rigging and skinning using PointNet++, text-conditioned motion generation via a topology-aware transformer diffusion model with SBERT and T5 encodings, and training with Geodesic + InfoNCE losses for topologically consistent and semantically aligned results.

The system achieved 92% armature classification accuracy on the Truebones Zoo dataset, demonstrating that end-to-end text-driven animation of arbitrary meshes is feasible.

Read the full article on Medium.com