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cs.CV2025
sim2art: Accurate Articulated Object Modeling from a Single Video using Synthetic Training Data Only
Arslan Artykov, Tom Ravaud, Corentin Sautier +1
Understanding articulated objects from monocular video is a crucial yet challenging task in robotics and digital twin creation. Existing methods often rely on complex multi-view se…
cs.CV2025
Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline
Corentin Sautier, Gilles Puy, Alexandre Boulch +2
Panoptic segmentation of LiDAR point clouds is fundamental to outdoor scene understanding, with autonomous driving being a primary application. While state-of-the-art approaches ty…
cs.CV2025
NextBestPath: Efficient 3D Mapping of Unseen Environments
Shiyao Li, Antoine Guédon, Clémentin Boittiaux +2
This work addresses the problem of active 3D mapping, where an agent must find an efficient trajectory to exhaustively reconstruct a new scene. Previous approaches mainly predict t…