Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Flow-based Gaussian Splatting for Continuous-Scale Remote Sensing Image Super-Resolution
Jiangwei Mo, Xi Lu, Hanlin Wu
High-resolution remote sensing images (RSIs) are crucial for Earth observation applications, yet acquiring them is often limited by sensor constraints and costs. In recent years, g…
cs.CV2026
MapSR: Prompt-Driven Land Cover Map Super-Resolution via Vision Foundation Models
Ruiqi Wang, Qi Yu, Jie Ma +1
High-resolution (HR) land-cover mapping is often constrained by the high cost of dense HR annotations. We revisit this problem from the perspective of map super-resolution, which e…
cs.CV2026
Linearized Coupling Flow with Shortcut Constraints for One-Step Face Restoration
Xiaohui Sun, Hanlin Wu
Face restoration can be formulated as a continuous-time transformation between image distributions via Flow Matching (FM). However, standard FM typically employs independent coupli…