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title: MolmoMotion: Language-guided 3D motion forecasting
description: MolmoMotion is a new language-guided 3D motion forecasting model from AI2 that predicts where marked 3D points on objects will move over the next few seconds,...
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# MolmoMotion: Language-guided 3D motion forecasting

**[Hugging Face](https://daily.dev/sources/huggingface)** · 9 min read · 0 upvotes · 0 comments

## Summary

MolmoMotion is a new language-guided 3D motion forecasting model from AI2 that predicts where marked 3D points on objects will move over the next few seconds, given a video frame and a natural language action description. It uses Molmo 2 as its backbone and comes in two variants: an autoregressive version (MolmoMotion-AR) for well-defined trajectories and a flow-matching version (MolmoMotion-FM) for uncertain multi-modal futures. Alongside the model, AI2 releases MolmoMotion-1M, a dataset of 1.16M videos with object-grounded 3D point trajectories paired with action descriptions, and PointMotionBench, a 2.7K-clip human-validated benchmark. MolmoMotion outperforms existing 3D forecasting methods on the benchmark, improves robot pick-and-place success from 56% to 76.3%, and enhances motion quality in video generation tasks. Model weights, dataset, and benchmark are all openly released.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://huggingface.co/blog/allenai/molmomotion>

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---

Tags: [#computer-vision](https://daily.dev/tags/computer-vision), [#robotics](https://daily.dev/tags/robotics), [#video-generation](https://daily.dev/tags/video-generation)

[View this post on daily.dev](https://daily.dev/posts/molmomotion-language-guided-3d-motion-forecasting-j9ihm74ru)

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