1 citations · 1 across the 2 of their papers we have counts for
4 papers
LoMa: Local Feature Matching Revisited
David Nordström, Johan Edstedt, Georg Bökman +6
Local feature matching has long been a fundamental component of 3D vision systems such as Structure-from-Motion (SfM), yet progress has lagged behind the rapid advances of modern d…
RoMa v2: Harder Better Faster Denser Feature Matching
Johan Edstedt, David Nordström, Yushan Zhang +7
Dense feature matching aims to estimate all correspondences between two images of a 3D scene and has recently been established as the gold standard due to its high accuracy and rob…
Edge Prediction for Roof Wireframe Reconstruction with Transformers
Gustav Hanning, Ludvig Dillén, Jonathan Astermark +2
This paper presents a competitive solution to the S23DR Challenge 2026, which aims to reconstruct 3D house roof wireframe models from sparse SfM point clouds and ground-level seman…
Dense Match Summarization for Faster Two-view Estimation
Jonathan Astermark, Anders Heyden, Viktor Larsson
In this paper, we speed up robust two-view relative pose from dense correspondences. Previous work has shown that dense matchers can significantly improve both accuracy and robustn…