8 papers
SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images
Xuejun Huang, Xinyi Liu, Yi Wan +5
Three-dimensional scene reconstruction from sparse-view satellite images is a long-standing and challenging task. While 3D Gaussian Splatting (3DGS) and its variants have recently…
GLEAM: Learning to Match and Explain in Cross-View Geo-Localization
Xudong Lu, Zhi Zheng, Yi Wan +11
Cross-View Geo-Localization (CVGL) focuses on identifying correspondences between images captured from distinct perspectives of the same geographical location. However, existing CV…
ViewBridge:Revisiting Cross-View Localization from Image Matching
Panwang Xia, Qiong Wu, Lei Yu +11
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…
Cross-View Localization via Redundant Sliced Observations and A-Contrario Validation
Yongjun Zhang, Mingtao Xiong, Yi Wan +1
Cross-view localization (CVL) matches ground-level images with aerial references to determine the geo-position of a camera, enabling smart vehicles to self-localize offline in GNSS…
CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance
Peiqi Chen, Lei Yu, Yi Wan +9
Semi-dense feature matching methods have shown strong performance in challenging scenarios. However, the existing pipeline relies on a global search across the entire feature map t…
StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
Yi Liu, Xinyi Liu, Yi Wan +3
Stereo image super-resolution (SSR) aims to enhance high-resolution details by leveraging information from stereo image pairs. However, existing stereo super-resolution (SSR) upsam…