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OpenCVL: An Open, Diverse, and Large-Scale Dataset for Fine-Grained Cross-View Localization
Zimin Xia, Mubariz Zaffar, Junsheng Fu +2
Fine-grained Cross-View Localization (CVL) estimates the precise position and orientation of a ground-level image by aligning it with geo-referenced aerial imagery, offering a scal…
Fusing Satellite Imagery and Planimetric Maps for Cross-View Localization
Quang Long Ho Ngo, Zimin Xia, Alexandre Alahi
Current cross-view localization methods predominantly rely on satellite imagery as the aerial modality. Although recent work explores planimetric maps (e.g., OpenStreetMap tiles),…
Drift-Resistant Navigation World Model with Anchored Epipolar Guidance
Po-Chien Luan, Zimin Xia, Wuyang Li +2
We propose Drift-Resistant Navigation World Model, a generative model that mitigates both perceptual drift and geometric drift in conventional rollout-based navigation world models…
Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
Ming Qian, Zimin Xia, Changkun Liu +6
Generating a street-level 3D scene from a single satellite image is a crucial yet challenging task. Current methods present a stark trade-off: geometry-colorization models achieve…
Loc: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching
Zimin Xia, Chenghao Xu, Alexandre Alahi
We propose an accurate and interpretable fine-grained cross-view localization method that estimates the 3 Degrees of Freedom (DoF) pose of a ground-level image by matching its loca…
AIM 2025 Low-light RAW Video Denoising Challenge: Dataset, Methods and Results
Alexander Yakovenko, George Chakvetadze, Ilya Khrapov +17
This paper reviews the AIM 2025 (Advances in Image Manipulation) Low-Light RAW Video Denoising Challenge. The task is to develop methods that denoise low-light RAW video by exploit…
GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
Shaowen Tong, Zimin Xia, Alexandre Alahi +2
Cross-view localization, the task of estimating a camera's 3-degrees-of-freedom (3-DoF) pose by aligning ground-level images with satellite images, is crucial for large-scale outdo…
FG: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
Zimin Xia, Alexandre Alahi
We propose a novel fine-grained cross-view localization method that estimates the 3 Degrees of Freedom pose of a ground-level image in an aerial image of the surroundings by matchi…
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia, Yujiao Shi, Hongdong Li +1
Given a ground-level query image and a geo-referenced aerial image that covers the query's local surroundings, fine-grained cross-view localization aims to estimate the location of…
Convolutional Cross-View Pose Estimation
Zimin Xia, Olaf Booij, Julian F. P. Kooij
We propose a novel end-to-end method for cross-view pose estimation. Given a ground-level query image and an aerial image that covers the query's local neighborhood, the 3 Degrees-…
SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation
Ted Lentsch, Zimin Xia, Holger Caesar +1
This work addresses cross-view camera pose estimation, i.e., determining the 3-Degrees-of-Freedom camera pose of a given ground-level image w.r.t. an aerial image of the local area…
Visual Cross-View Metric Localization with Dense Uncertainty Estimates
Zimin Xia, Olaf Booij, Marco Manfredi +1
This work addresses visual cross-view metric localization for outdoor robotics. Given a ground-level color image and a satellite patch that contains the local surroundings, the tas…