BerriAI / litellm
github.com·3d ago
Developer Tools
GitHub Trending·11d ago·5 min read
Friedrich-M / UniMate
TL;DR
Friedrich-M and UniMate have released a series of tools and datasets for 3D animation, including a new dataset and an interactive demo. Key outcomes include the availability of training and inference code, as well as checkpoints for model evaluation.
✦ Why It Matters
Explore the interactive demo to understand the capabilities of the new 3D animation tools today.
Key Takeaways
- Utilize UniMate for diverse skeleton animation without retraining.
- Access the UniML3D dataset for rich motion data.
- Implement the provided data-processing pipeline for training.
- Experiment with text prompts to generate unique animations.
How It Works
UniMate employs a unified model that processes a large dataset of motion sequences, allowing it to generate animations based on textual descriptions. The model uses flow matching to predict motion dynamics, ensuring smooth transitions and realistic movements.
By conditioning on skeleton topology, it adapts to various rigged assets without needing additional training.