UniMate is a generative motion model that animates rigged 3D assets with different skeletal structures from natural-language prompts. It is designed to handle bipeds, quadrupeds, birds, marine creatures, insects, serpentine rigs, and articulated rigid objects with one unified model. Its topology-aware diffusion transformer conditions generation on skeleton structure rather than requiring a fixed character template. The accompanying UniML3D dataset contains 13,006 text-paired motion sequences with unified skeletal canonicalization. Inference can generate motion for unseen skeleton topologies without per-skeleton retraining or test-time optimization. The same model supports text-guided motion editing, in-betweening, and longer motion expansion. Training, inference, data processing, and preview checkpoints are provided for research use.
Features
- Text-driven 3D skeleton animation
- Cross-topology motion generation
- Topology-aware diffusion transformer
- 13,006-sequence UniML3D dataset
- Motion editing, in-betweening, and expansion
- Training and inference pipelines