6 papers · 1 filter
Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network
Wenxuan Fang, Jiangwei Weng, Yu Zheng +5
In UAV applications, haze significantly obscures distant details and weaken structural information, hindering the recovery of details. Current UAV scenarios still face two key chal…
WeatherCycle: Unpaired Multi-Weather Restoration via Color Space Decoupled Cycle Learning
Wenxuan Fang, Jiangwei Weng, Jianjun Qian +2
Unsupervised image restoration under multi-weather conditions remains a fundamental yet underexplored challenge. While existing methods often rely on task-specific physical priors,…
When Color-Space Decoupling Meets Diffusion for Adverse-Weather Image Restoration
Wenxuan Fang, Jili Fan, Chao Wang +5
Adverse Weather Image Restoration (AWIR) is a highly challenging task due to the unpredictable and dynamic nature of weather-related degradations. Traditional task-specific methods…
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
Junkai Fan, Jiangwei Weng, Kun Wang +4
Real driving-video dehazing poses a significant challenge due to the inherent difficulty in acquiring precisely aligned hazy/clear video pairs for effective model training, especia…
Guided Real Image Dehazing using YCbCr Color Space
Wenxuan Fang, Junkai Fan, Yu Zheng +3
Image dehazing, particularly with learning-based methods, has gained significant attention due to its importance in real-world applications. However, relying solely on the RGB colo…
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
Jiangwei Weng, Zhiqiang Yan, Ying Tai +3
Recent advances in low light image enhancement have been dominated by Retinex-based learning framework, leveraging convolutional neural networks (CNNs) and Transformers. However, t…