activity
20232026
most citedWhen LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models

8 citations · 17 across the 16 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Scene Coordinate Reconstruction Priors

Wenjing Bian, Axel Barroso-Laguna, Tommaso Cavallari +2

Scene coordinate regression (SCR) models have proven to be powerful implicit scene representations for 3D vision, enabling visual relocalization and structure-from-motion. SCR mode…

cs.CV2025

ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training

Leonard Bruns, Axel Barroso-Laguna, Tommaso Cavallari +4

Scene coordinate regression (SCR) has established itself as a promising learning-based approach to visual relocalization. After mere minutes of scene-specific training, SCR models…

cs.CV2025

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features

Axel Barroso-Laguna, Tommaso Cavallari, Victor Adrian Prisacariu +1

Visually localizing an image, i.e., estimating its camera pose, requires building a scene representation that serves as a visual map. The representation we choose has direct conseq…

cs.CV2025

Reflect3r: Single-View 3D Stereo Reconstruction Aided by Mirror Reflections

Jing Wu, Zirui Wang, Iro Laina +1

Mirror reflections are common in everyday environments and can provide stereo information within a single capture, as the real and reflected virtual views are visible simultaneousl…

cs.CV2025

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset

Zirui Wang, Wenjing Bian, Xinghui Li +4

We introduce Oxford Day-and-Night, a large-scale, egocentric dataset for novel view synthesis (NVS) and visual relocalisation under challenging lighting conditions. Existing datase…