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Aron Monszpart

5 accepted papers

2025

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

ICCV 2025poster

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 estimate camera poses of query images with high accuracy. Still, SCR methods fall short of the generalization capabiliti…

Cited by 0SourcePDFScholar
2024

Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer

ECCV 2024oral

"We address the task of estimating camera parameters from a set of images depicting a scene. Popular feature-based structure-from-motion (SfM) tools solve this task by incremental reconstruction: they repeat triangulation of sparse 3D points and registration of more camera views to the sparse point…

2022

Map-Free Visual Relocalization: Metric Pose Relative to a Single Image

ECCV 2022poster

"Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D map. In contrast, we propose Map-free Relocalization, i.e., using only one photo of a scene to enable instant, metric s…

2020

Footprints and Free Space From a Single Color Image

CVPR 2020oral

Understanding the shape of a scene from a single color image is a formidable computer vision task. However, most methods aim to predict the geometry of surfaces that are visible to the camera, which is of limited use when planning paths for robots or augmented reality agents. Such agents can only mo…

Cited by 24PDFcodeScholar
2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

NeurIPS 2020poster

We present RELATE, a model that learns to generate physically plausible scenes and videos of multiple interacting objects. Similar to other generative approaches, RELATE is trained end-to-end on raw, unlabeled data. RELATE combines an object-centric GAN formulation with a model that explicitly accou…