5 papers
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…
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…
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…
3D Priors-Guided Diffusion for Blind Face Restoration
Xiaobin Lu, Xiaobin Hu, Jun Luo +3
Blind face restoration endeavors to restore a clear face image from a degraded counterpart. Recent approaches employing Generative Adversarial Networks (GANs) as priors have demons…
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather Conditions
Ryan Wen Liu, Yuxu Lu, Yuan Gao +4
The visible-light camera, which is capable of environment perception and navigation assistance, has emerged as an essential imaging sensor for marine surface vessels in intelligent…