{"ID":2882385,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.10716","arxiv_id":"2508.10716","title":"ViewBridge:Revisiting Cross-View Localization from Image Matching","abstract":"Cross-view localization aims to estimate the 3-DoF pose of a ground-view image by aligning it with aerial or satellite imagery. Existing methods typically address this task through direct regression or feature alignment in a shared bird's-eye view (BEV) space. Although effective for coarse alignment, these methods fail to establish fine-grained and geometrically reliable correspondences under large viewpoint variations, thereby limiting both the accuracy and interpretability of localization results. Consequently, we revisit cross-view localization from the perspective of image matching and propose a unified framework that enhances both matching and localization. Specifically, we introduce a Surface Model that constrains BEV feature projection to physically valid regions for geometric consistency, and a SimRefiner that adaptively refines similarity distributions to enhance match reliability. To further support research in this area, we present CVFM, the first benchmark with 32,509 cross-view image pairs annotated with pixel-level correspondences. Extensive experiments demonstrate that our approach achieves geometry-consistent and fine-grained correspondences across extreme viewpoints and further improves the accuracy and stability of cross-view localization.","short_abstract":"Cross-view localization aims to estimate the 3-DoF pose of a ground-view image by aligning it with aerial or satellite imagery. Existing methods typically address this task through direct regression or feature alignment in a shared bird's-eye view (BEV) space. Although effective for coarse alignment, these methods fail...","url_abs":"https://arxiv.org/abs/2508.10716","url_pdf":"https://arxiv.org/pdf/2508.10716v2","authors":"[\"Panwang Xia\",\"Qiong Wu\",\"Lei Yu\",\"Yi Liu\",\"Mingtao Xiong\",\"Xudong Lu\",\"Yi Liu\",\"Haoyu Guo\",\"Yongxiang Yao\",\"Junjian Zhang\",\"Xiangyuan Cai\",\"Hongwei Hu\",\"Zhi Zheng\",\"Yongjun Zhang\",\"Yi Wan\"]","published":"2025-08-14T14:57:31Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}