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New Video-Point Model forecasts 3D trajectories and multi-view videos

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a Video-Point Model (VPM) capable of predicting future multi-view videos and 3D point trajectories. This model, detailed in a new paper, conditions on multi-view video histories and language instructions to forecast future videos from various viewpoints and track persistent scene points in 3D. The VPM is supported by a new simulation corpus, VPM-Data, and a forecasting benchmark, VP-WorldBench, demonstrating improvements in video fidelity and 3D motion accuracy, and enhancing robot control capabilities. AI

IMPACT This model could advance robot control and improve the accuracy of 3D scene forecasting in complex environments.

RANK_REASON The cluster contains a research paper detailing a new model and benchmark.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New Video-Point Model forecasts 3D trajectories and multi-view videos

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The cluster contains a research paper detailing a new model and benchmark.
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COVERAGE [3]

  1. Claude Agent SDK (Python) — Releases TIER_1 (SK) · github-actions[bot] ·

    v0.2.172

    <h3>Internal/Other Changes</h3> <ul> <li>Updated bundled Claude CLI to version 2.1.308</li> </ul> <hr /> <p><strong>PyPI:</strong> <a href="https://pypi.org/project/claude-agent-sdk/0.2.172/" rel="nofollow">https://pypi.org/project/claude-agent-sdk/0.2.172/</a></p> <div class="hi…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Learning the 4D World through Point Trajectory Forecasting

    Video-Point Model predicts future multi-view videos and 3D point trajectories from video histories and instructions, improving forecasting and robot control through shared 3D-aware representations.

  3. arXiv cs.CV TIER_1 English(EN) · Byungwoo Jeon, Sunghwan Hong, Dohyeon Kim, Jonghoon Lee, Jungwoo Park, Inhee Lee, Doosan Baek, Jinil Kim, Taehyun Lim, Hanbyul Joo, Marc Pollefeys, Saining Xie, Jinwoo Shin ·

    Learning the 4D World through Point Trajectory Forecasting

    arXiv:2610.28594v1 Announce Type: new Abstract: Reliable multi-view forecasting requires videos from different cameras to describe the same evolving 3D scene. To this end, we introduce Video-Point Model (VPM), a world model that conditions on multi-view video histories and a lang…

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