6 citations · 6 across the 6 of their papers we have counts for
6 papers · 1 filter
GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video Generator
Liyuan Zhu, Manjunath Narayana, Michal Stary +3
We present GaussFusion, a novel approach for improving 3D Gaussian splatting (3DGS) reconstructions in the wild through geometry-informed video generation. GaussFusion mitigates co…
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…
Generating Topological Structure of Floorplans from Room Attributes
Yin Yu, Hutchcroft Will, Khosravan Naji +3
Analysis of indoor spaces requires topological information. In this paper, we propose to extract topological information from room attributes using what we call Iterative and adapt…
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…