5 papers
SeeRF: Learning to See Beyond Fields of View via Generative Image Registration and Fusion
Xunpeng Yi, Yibing Zhang, Qinglong Yan +3
Due to the inherent discrepancies in imaging viewpoints and field-of-view mismatches among multi-modal sensors, existing fusion methods have long struggled to achieve complete scen…
UltraMatch: Transport Path Routing for Ultra-Fast and Memory-Efficient Image Matching
Jiajun Le, Yifan Lu, Zizhuo Li +3
Despite recent advances in accuracy and efficiency, coarse matching remains an indispensable yet costly stage in existing semi-dense matchers due to dense token-level matching. We…
Deep Learning Reforms Image Matching: A Survey and Outlook
Shihua Zhang, Zizhuo Li, Kaining Zhang +6
Image matching, which establishes correspondences between two images to recover 3D structure and camera geometry, is a cornerstone of computer vision and underpins a wide range of…
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching
Zizhuo Li, Yifan Lu, Linfeng Tang +2
This prospective study proposes CoMatch, a novel semi-dense image matcher with dynamic covisibility awareness and bilateral subpixel accuracy. Firstly, observing that modeling cont…
A Fusion Model: Towards a Virtual, Physical and Cognitive Integration and its Principles
Hao Lan Zhang, Yun Xue, Yifan Lu +1
Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), digital twin, Metaverse and other related digital technologies have attracted much attention in recent years. Thes…