Training-free research system that reconstructs simulation-ready 4D mesh scenes from a single monocular video.
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One Video, One World (OVOW) is a research system that turns a single monocular video into a physical 4D scene made of instance-level meshes. According to the project page, it is training-free: it chains existing pretrained models rather than training a new one. The page describes rigid-body reconstruction with metric scale and per-frame pose from a monocular clip.
A YouTube review reports that the pipeline combines components such as Qwen3-VL, SAM 3, Flux 2 and Hi3DGen to produce separate, simulation-ready object meshes in an animated 3D world. Code is reported as released, but the project page fetched did not link a repository, so the location is not confirmed here.
It is aimed at researchers and developers working on simulation, robotics and 3D content. Limits reported by the reviewer: 40GB+ VRAM recommended, and some dependencies carry non-commercial licenses, which may restrict commercial use of the full pipeline.
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Turns a normal video into an animated 3D world with separate simulation-ready object meshes, combining Qwen3-VL, SAM 3, Flux 2 and Hi3DGen among others. Code released, 40GB+ VRAM recommended, with non-commercial dependencies.
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