7 papers · 1 filter
Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis
Xiaolong Qian, Qi Jiang, Yao Gao +5
Prevalent Computational Aberration Correction (CAC) methods are typically tailored to specific optical systems, leading to poor generalization and labor-intensive re-training for n…
EvDiff: Event-Based Video Reconstruction using One-Step Diffusion Models
Weilun Li, Lei Sun, Ruixi Gao +6
As neuromorphic sensors, event cameras asynchronously record changes in brightness as streams of sparse events with the advantages of high temporal resolution and high dynamic rang…
Low-Light Image Enhancement using Event-Based Illumination Estimation
Lei Sun, Yuhan Bao, Jiajun Zhai +5
Low-light image enhancement (LLIE) aims to improve the visibility of images captured in poorly lit environments. Prevalent event-based solutions primarily utilize events triggered…
SGE: Structured Light System Based on Gray Code with an Event Camera
Xingyu Lu, Lei Sun, Diyang Gu +1
Fast and accurate depth sensing has long been a significant research challenge. Event camera, as a device that quickly responds to intensity changes, provides a new solution for st…
Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
Xiaolong Qian, Qi Jiang, Yao Gao +8
Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for…
Temporal-Mapping Photography for Event Cameras
Yuhan Bao, Lei Sun, Yuqin Ma +1
Event cameras, or Dynamic Vision Sensors (DVS) are novel neuromorphic sensors that capture brightness changes as a continuous stream of "events" rather than traditional intensity f…