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Paper · arXiv

Unravel: Recovering an Interactive 3D Scene from a Single Image

We present Unravel, a training-free framework that turns a single image into an interactive 3D scene, where every object is an independent and movable asset. Existing generators either produce one entangled geometry in which no object can be moved, or predict all objects in one feed-forward pass, where a wrong guess cannot be detected or repaired. Unravel instead takes a different approach: it first takes the scene apart, and then puts it back together. Starting from the input image, an agentic harness that iteratively peels the image layer by layer, and adopts point cloud as major modality for spatial relationship recovery. Specifically, a vision-language model plans which objects are fu...

AuthorsHui Shan, Keyang Luo, Binjia Zhou et al.
Primary categorycs.CV
Published12 October 2026
Last updated at source12 October 2026
cs.CVcs.AI
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