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New MolmoMotion model forecasts 3D object trajectories with language instructions

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced MolmoMotion, a novel model for forecasting 3D point trajectories based on language instructions. This system is supported by a large dataset called MolmoMotion-1M, derived from over a million videos, and a benchmark named PointMotionBench, which covers 111 object categories and 61 motion types. MolmoMotion demonstrates superior performance compared to existing baselines and shows promise for applications in robot manipulation and video synthesis. AI

IMPACT This research could advance robotics and generative video by improving the prediction of object movements based on natural language commands.

RANK_REASON The cluster describes a new academic paper detailing a novel model and dataset for motion forecasting. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New MolmoMotion model forecasts 3D object trajectories with language instructions

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The cluster describes a new academic paper detailing a novel model and dataset for motion forecasting. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jianing Zhang, Chenhao Zheng, Yajun Yang, Max Argus, Rustin Soraki, Winson Han, Taira Anderson, Chun-Liang Li, Shuo Liu, Jiafei Duan, Zhongzheng Ren, Jieyu Zhang, Ranjay Krishna ·

    MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction

    arXiv:2606.18558v2 Announce Type: replace Abstract: Motion forecasting is central to visual intelligence: agents must anticipate how objects will move in order to plan actions, reason about physical interactions, and synthesize realistic futures. We argue that 3D points in world …

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