Models & Labs
MolmoMotion: New Model for 3D Motion Forecasting
Hugging Face Bloghigh confidence
Why it matters
- →MolmoMotion sets a new benchmark in 3D motion forecasting accuracy.
- →It enables more efficient motion prediction without full video rendering.
- →The release includes the largest dataset of its kind, fostering further research.
Hugging Face has introduced MolmoMotion, a model designed to predict 3D motion trajectories from video frames and language instructions. This model uses a sparse set of 3D points to represent motion, which is more efficient than full video rendering. Alongside the model, Hugging Face released the MolmoMotion-1M dataset and PointMotionBench benchmark to aid in accuracy testing. MolmoMotion outperforms existing methods, offering significant advancements for applications in robotics and video generation.
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