Publications (11)
Visual Correspondence Hallucination
Hugo Germain, Vincent Lepetit, Guillaume Bourmaud
Given a pair of partially overlapping source and target images and a keypoint in the source image, the keypoint's correspondent in the target image can be either visible, occluded…
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin, Ajaykumar Unagar, MÃ¥ns Larsson +8
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, f…
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain +4
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and high-fre…
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…
Scientific Outreach with Teegi, a Tangible EEG Interface to Talk about Neurotechnologies
Jérémy Frey, Renaud Gervais, Thibault Lainé +5
Teegi is an anthropomorphic and tangible avatar exposing a users' brain activity in real time. It is connected to a device sensing the brain by means of electroencephalog-raphy (EE…
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation
Hugo Germain, Vincent Lepetit, Guillaume Bourmaud
Absolute camera pose estimation is usually addressed by sequentially solving two distinct subproblems: First a feature matching problem that seeks to establish putative 2D-3D corre…