activity
20192026
most citedR2D2: Repeatable and Reliable Detector and Descriptor

356 citations · 372 across the 6 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

S-MUSt3R: Sliding Multi-view 3D Reconstruction

Leonid Antsfeld, Boris Chidlovskii, Yohann Cabon +2

The recent paradigm shift in 3D vision led to the rise of foundation models with remarkable capabilities in 3D perception from uncalibrated images. However, extending these models…

cs.CV2025

PanSt3R: Multi-view Consistent Panoptic Segmentation

Lojze Zust, Yohann Cabon, Juliette Marrie +4

Panoptic segmentation of 3D scenes, involving the segmentation and classification of object instances in a dense 3D reconstruction of a scene, is a challenging problem, especially…

cs.CV2025

Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors

Wonbong Jang, Philippe Weinzaepfel, Vincent Leroy +2

We present Pow3r, a novel large 3D vision regression model that is highly versatile in the input modalities it accepts. Unlike previous feed-forward models that lack any mechanism…

cs.CV2025

MUSt3R: Multi-view Network for Stereo 3D Reconstruction

Yohann Cabon, Lucas Stoffl, Leonid Antsfeld +4

DUSt3R introduced a novel paradigm in geometric computer vision by proposing a model that can provide dense and unconstrained Stereo 3D Reconstruction of arbitrary image collection…

cs.CV2024

MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion

Bardienus Duisterhof, Lojze Zust, Philippe Weinzaepfel +3

Structure-from-Motion (SfM), a task aiming at jointly recovering camera poses and 3D geometry of a scene given a set of images, remains a hard problem with still many open challeng…

cs.CV202115 cited

Learning From Long-Tailed Data With Noisy Labels

Shyamgopal Karthik, Jérome Revaud, Boris Chidlovskii

Class imbalance and noisy labels are the norm rather than the exception in many large-scale classification datasets. Nevertheless, most works in machine learning typically assume b…