5 papers
From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing
Ling Wang, Yunfan Lu, Wenzong Ma +3
Clear imaging under hazy conditions is a critical task. Prior-based and neural methods have improved results. However, they operate on RGB frames, which suffer from limited dynamic…
From Events to Enhancement: A Survey on Event-Based Imaging Technologies
Yunfan Lu, Xiaogang Xu, Pengteng Li +4
Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different im…
SEE: See Everything Every Time -- Adaptive Brightness Adjustment for Broad Light Range Images via Events
Yunfan Lu, Xiaogang Xu, Hao Lu +8
Event cameras, with a high dynamic range exceeding , significantly outperform traditional embedded cameras, robustly recording detailed changing information under various li…
RGB-Event ISP: The Dataset and Benchmark
Yunfan Lu, Yanlin Qian, Ziyang Rao +3
Event-guided imaging has received significant attention due to its potential to revolutionize instant imaging systems. However, the prior methods primarily focus on enhancing RGB i…
EventVL: Understand Event Streams via Multimodal Large Language Model
Pengteng Li, Yunfan Lu, Pinghao Song +3
The event-based Vision-Language Model (VLM) recently has made good progress for practical vision tasks. However, most of these works just utilize CLIP for focusing on traditional p…