4 papers
Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video
Arslan Artykov, Tom Ravaud, Nicolás Violante-Grezzi +1
Retrieving the 3D kinematics of articulated objects from monocular video is a fundamental challenge in computer vision. Existing methods rely on complex video setups or cues such a…
Detailed Geometry and Appearance from Opportunistic Motion
Ryosuke Hirai, Kohei Yamashita, Antoine Guédon +3
Reconstructing 3D geometry and appearance from a sparse set of fixed cameras is a foundational task with broad applications, yet it remains fundamentally constrained by the limited…
BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities
Boris Meden, Asma Brazi, Fabrice Mayran de Chamisso +2
6D pose estimation aims at determining the object pose that best explains the camera observation. The unique solution for non-ambiguous objects can turn into a multi-modal pose dis…
Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions
Asma Brazi, Boris Meden, Fabrice Mayran de Chamisso +2
We introduce Corr2Distrib, the first correspondence-based method which estimates a 6D camera pose distribution from an RGB image, explaining the observations. Indeed, symmetries an…