SOURCE-LINKED INTELLIGENCE
RIGOR: Rig-Informed Geometry for Omnidirectional Reconstruction
Recent developments in feed-forward 3D reconstruction resulted in models which can recover dense scene representations and camera motion solely from an image stream. However, such predictions are prone to becoming inconsistent over long trajectories, specifically in demanding environments with repetitive structures, weak textures and dynamic objects or people. One way to mitigate those challenges is to use an omnidirectional camera, which provides wide spatial coverage and captures richer visual information. Yet, the majority of models do not offer support for 360-degree imagery or require add
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T20:11:43.000Z
First collected: 2026-09-20T16:41:15.630Z. This is not the publication date.