3 papers
cs.CV2026
AsyncEvGS: Asynchronous Event-Assisted Gaussian Splatting for Handheld Motion-Blurred Scenes
Jun Dai, Renbiao Jin, Bo Xu +5
3D reconstruction methods such as 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF) achieve impressive photorealism but fail when input images suffer from severe motio…
cs.CV2025
A Physics-Informed Blur Learning Framework for Imaging Systems
Liqun Chen, Yuxuan Li, Jun Dai +2
Accurate blur estimation is essential for high-performance imaging across various applications. Blur is typically represented by the point spread function (PSF). In this paper, we…
cs.CV2025
Tolerance-Aware Deep Optics
Jun Dai, Liqun Chen, Xinge Yang +3
Deep optics has emerged as a promising approach by co-designing optical elements with deep learning algorithms. However, current research typically overlooks the analysis and optim…