OneCanvas: 3D Scene Understanding via Panoramic Reprojection
Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spatial reasoning. Instead, OneCanvas aggregates patch features from all views onto a single equirectangular panoramic canvas. Namely, each patch is unprojected to a 3D world coordinate using its depth and camera pose, then placed on the canvas at the continuous longitude and latitude of that point as seen from the canvas origin, with no rasterization or aggregation across overlapping views. A 3D position embedding of the patch's metric coordinates is added to its feature, restoring the depth lost when collapsing th...
| Authors | Bartłomiej Baranowski, Dave Zhenyu Chen, Matthias Nießner |
|---|---|
| Primary category | cs.CV |
| Published | 17 June 2026 |
| Last updated at source | 27 September 2026 |
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