5 papers
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…
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…
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…
Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution
Xiaohui Sun, Jiangwei Mo, Hanlin Wu +1
Recent advancements in diffusion models (DMs) have greatly advanced remote sensing image super-resolution (RSISR). However, their iterative sampling processes often result in slow…
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
Hanlin Wu, Jiangwei Mo, Xiaohui Sun +1
Recent advancements in diffusion models have significantly improved performance in super-resolution (SR) tasks. However, previous research often overlooks the fundamental differenc…