25 citations · 30 across the 10 of their papers we have counts for
5 papers · 1 filter
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Antoine Guédon, Vincent Lepetit
We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting. Gaussian Splatting has recently become very popular as it yields realistic rende…
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection
Kohei Yamashita, Vincent Lepetit, Ko Nishino
Computer vision has long relied on two kinds of correspondences: pixel correspondences in images and 3D correspondences on object surfaces. Is there another kind, and if there is,…
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann +1
We present GigaPose, a fast, robust, and accurate method for CAD-based novel object pose estimation in RGB images. GigaPose first leverages discriminative "templates", rendered ima…
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds
Corentin Sautier, Gilles Puy, Alexandre Boulch +2
We present a surprisingly simple and efficient method for self-supervision of 3D backbone on automotive Lidar point clouds. We design a contrastive loss between features of Lidar s…
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
Stefan Ainetter, Sinisa Stekovic, Friedrich Fraundorfer +1
We present an automated and efficient approach for retrieving high-quality CAD models of objects and their poses in a scene captured by a moving RGB-D camera. We first investigate…