paper-with-me

홈 › Papers

From Events to Enhancement: A Survey on Event-Based Imaging Technologies

2025-04-30 · Yunfan Lu, Xiaogang Xu, Pengteng Li, Yusheng Wang, Yi Cui, Huizai Yao, Hui Xiong

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 imaging tasks, a comprehensive study of recently advances and challenges are still lacking. This limits the broader understanding of how to utilize events in universal imaging applications. In this survey, we first introduce a physical model and the characteristics of different event sensors as the foundation. Following this, we highlight the advancement and interaction of image/video enhancement tasks with events. Additionally, we explore advanced tasks, which capture richer light information with events, \eg~light field estimation, multi-view generation, and photometric. Finally, we discuss new challenges and open questions offering a perspective for this rapidly evolving field. More continuously updated resources are at this link: https://github.com/yunfanLu/Awesome-Event-Imaging

📄 PDF Abstract BibTeX arXiv:2505.05488

Code (0)

등록된 구현이 없습니다.

Tasks

Video Enhancement

Similar Papers 제목 키워드 기반

Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey

2025-09-12 · Aupendu Kar, Vishnu Raj, Guan-Ming Su arxiv

Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of these changes. These systems are witnessin…

3D ReconstructionVideo RestorationVideo Enhancement

Synthetic Aperture Imaging With Events and Frames

2022-01-01 · CVPR 2022 1 · Wei Liao, Xiang Zhang, Lei Yu, ShiJie Lin 외

The Event-based Synthetic Aperture Imaging (E-SAI) has recently been proposed to see through extremely dense occlusions. However, the performance of E-SAI is not consistent under sparse occlusions due to the dramatic…

Decoderfeature selection

Quantum anomaly detection in the latent space of proton collision events at the LHC

2023-01-25 · Vasilis Belis, Kinga Anna Woźniak, Ema Puljak, Panagiotis Barkoutsos 외

The ongoing quest to discover new phenomena at the LHC necessitates the continuous development of algorithms and technologies. Established approaches like machine learning, along with emerging technologies such as quantu…

Anomaly DetectionQuantum Machine Learning

Dual-Exposure Imaging with Events

2026-04-11 · Mingyuan Lin, Hongyi Liu, Chu He, Wen Yang 외 arxiv

By combining complementary benefits of short- and long-exposure images, Dual-Exposure Imaging (DEI) enhances image quality in low-light scenarios. However, existing DEI approaches inevitably suffer from producing artifac…

Low-Light Image Enhancement

A Survey on Societal Event Forecasting with Deep Learning

2021-12-12 · Songgaojun Deng, Yue Ning

Population-level societal events, such as civil unrest and crime, often have a significant impact on our daily life. Forecasting such events is of great importance for decision-making and resource allocation. Event predi…

Decision MakingDeep LearningSurvey