4 papers
Alligat0R: Pre-Training Through Co-Visibility Segmentation for Relative Camera Pose Regression
Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit
Pre-training techniques have greatly advanced computer vision, with CroCo's cross-view completion approach yielding impressive results in tasks like 3D reconstruction and pose regr…
Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching
Matthieu Vilain, Rémi Giraud, Yannick Berthoumieu +1
Dense image matching aims to find a correspondent for every pixel of a source image in a partially overlapping target image. State-of-the-art methods typically rely on a coarse-to-…
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…
RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges
Thibaut Loiseau, Guillaume Bourmaud
Camera pose estimation is crucial for many computer vision applications, yet existing benchmarks offer limited insight into method limitations across different geometric challenges…