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20132026
most citedS2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching

8 citations · 16 across the 10 of their papers we have counts for

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2 papers · 1 filter

eess.IV2024

Evaluating the Posterior Sampling Ability of Plug&Play Diffusion Methods in Sparse-View CT

Liam Moroy, Guillaume Bourmaud, Frédéric Champagnat +1

Plug&Play (PnP) diffusion models are state-of-the-art methods in computed tomography (CT) reconstruction. Such methods usually consider applications where the sinogram contains a s…

cs.CV2024

Are Semi-Dense Detector-Free Methods Good at Matching Local Features?

Matthieu Vilain, Rémi Giraud, Hugo Germain +1

Semi-dense detector-free approaches (SDF), such as LoFTR, are currently among the most popular image matching methods. While SDF methods are trained to establish correspondences be…