3 papers
cs.CV2026
Real-World Scene Recovery for Scattering-Degraded Images Using Spatial and Frequency Priors
Yun Liu, Tao Li, Guanghui Yue +3
Scene recovery from real-world images degraded by scattering effects, such as haze, sandstorm, underwater, and remote sensing conditions, remains a fundamental yet challenging prob…
cs.CV2026
Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening
Junfeng Li, Wenyang Zhou, Xueheng Li +3
In this work, we propose a Multigrain-aware Semantic Prototype Scanning paradigm for pan-sharpening, built upon a high-order RWKV architecture and a tri-token prompting mechanism d…
cs.CV2025
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations
Weilei Wen, Chunle Guo, Wenqi Ren +2
Prior methodologies have disregarded the diversities among distinct degradation types during image reconstruction, employing a uniform network model to handle multiple deterioratio…