6 papers
MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
Yuguang Li, Yichuan Deng, Zixuan Liu +5
Reconstructing accurate camera poses and floor-plan layouts from sparse, unposed, wide-baseline RGB panoramas remains a challenging open problem. Direct multi-room floor-plan predi…
BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction
Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu +2
Reconstructing precise camera poses and floor plan layouts from wide-baseline RGB panoramas is a difficult and unsolved problem. We introduce BADGR, a novel diffusion model that jo…
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
John Lambert, Yuguang Li, Ivaylo Boyadzhiev +6
We propose a new system for automatic 2D floorplan reconstruction that is enabled by SALVe, our novel pairwise learned alignment verifier. The inputs to our system are sparsely loc…
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation
Negar Nejatishahidin, Will Hutchcroft, Manjunath Narayana +5
In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360 panoramas under upright-camera assumption. Recent work has demonstrated th…
U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
Pooya Fayyazsanavi, Zhiqiang Wan, Will Hutchcroft +4
While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary. To tackle this…
PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation
Haiyan Wang, Will Hutchcroft, Yuguang Li +4
In this paper, we propose a new deep learning-based method for estimating room layout given a pair of 360 panoramas. Our system, called Position-aware Stereo Merging Network or PSM…