7 papers
Rapid tracking through strongly scattering media with physics-informed neuromorphic speckle analysis
Yuqing Cao, Shuo Zhu, Rongzhou Chen +3
This work addresses the critical problem of tracking fast-moving objects through strongly scattering media in a low-light environment. Different from existing approaches that use f…
Inverse Design of Metasurface for Spectral Imaging
Rongzhou Chen, Haitao Nie, Shuo Zhu +3
Inverse design of metasurfaces for the joint optimization of optical modulation and algorithmic decoding in computational optics presents significant challenges, especially in appl…
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep
Jingqian Wu, Shuo Zhu, Chutian Wang +2
Recent advancements in 3D Gaussian Splatting (3D-GS) have demonstrated the potential of using 3D Gaussian primitives for high-speed, high-fidelity, and cost-efficient novel view sy…
Near-infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging
Chao Qu, Shuo Zhu, Yuhang Wang +4
The fields of imaging in the nighttime dynamic and other extremely dark conditions have seen impressive and transformative advancements in recent years, partly driven by the rise o…
Neuromorphic Imaging with Super-Resolution
Pei Zhang, Shuo Zhu, Chutian Wang +2
Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous st…
Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering
Jingqian Wu, Shuo Zhu, Chutian Wang +1
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as minimal motion blur and enhanced dynamic range, compared to conventional frame-based methods.…