Byungwoo Jeon, Sunghwan Hong, Dohyeon Kim, Jonghoon Lee, Jungwoo Park, Inhee Lee, Doosan Baek, Jinil Kim · 2026 · arXiv
DOI: 10.48550/arXiv.2610.28594 · open-access PDF
Para este fin, introducimos el Video-Point Model (VPM), un modelo mundial que condiciona las historias de video multi-view y una instrucción de idioma para predecir conjuntamente los videos futuros desde puntos de vista arbitrarios y las trayectorias 3D de los puntos de escena persistentes.
Machine translation (Meta M2M100); the English original follows.
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 language instruction to jointly forecast future videos from arbitrary viewpoints and the 3D trajectories of persistent scene points. We extend a pretrained world model with camera-conditioned multi-view processing that integrates complementary observations across cameras, and add a trajectory head that predicts how physical points move through time. Each trajectory trac
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