FastPano3D generates high-fidelity 3D Gaussian scenes from a single panoramic image via feed-forward inference, claimed 156x faster than prior methods with half the parameters.
Pano2CAD: Room Layout From A Single Panorama Image
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abstract
This paper presents a method of estimating the geometry of a room and the 3D pose of objects from a single 360-degree panorama image. Assuming Manhattan World geometry, we formulate the task as a Bayesian inference problem in which we estimate positions and orientations of walls and objects. The method combines surface normal estimation, 2D object detection and 3D object pose estimation. Quantitative results are presented on a dataset of synthetically generated 3D rooms containing objects, as well as on a subset of hand-labeled images from the public SUN360 dataset.
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cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image
FastPano3D generates high-fidelity 3D Gaussian scenes from a single panoramic image via feed-forward inference, claimed 156x faster than prior methods with half the parameters.