40 citations · 81 across the 8 of their papers we have counts for
3 papers · 1 filter
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
Lulin Zhang, Ewelina Rupnik
Digital surface model generation using traditional multi-view stereo matching (MVS) performs poorly over non-Lambertian surfaces, with asynchronous acquisitions, or at discontinuit…
DeepSim-Nets: Deep Similarity Networks for Stereo Image Matching
Mohamed Ali Chebbi, Ewelina Rupnik, Marc Pierrot-Deseilligny +1
We present three multi-scale similarity learning architectures, or DeepSim networks. These models learn pixel-level matching with a contrastive loss and are agnostic to the geometr…
Pointless Global Bundle Adjustment With Relative Motions Hessians
Ewelina Rupnik, Marc Pierrot-Deseilligny
Bundle adjustment (BA) is the standard way to optimise camera poses and to produce sparse representations of a scene. However, as the number of camera poses and features grows, ref…