Computational flow visualization to reveal hidden properties of complex flow with optical and computational methods

J Huang, H Liu, S Zhu, Y Liu, EY Lam, W Cai - Cell Reports Physical …, 2024 - cell.com
Flow visualization has long played a crucial role in understanding complex fluid dynamics,
especially reactive flows, but traditional techniques face limitations in realizing the …

Ev-GS: Event-based gaussian splatting for efficient and accurate radiance field rendering

J Wu, S Zhu, C Wang, EY Lam - 2024 IEEE 34th International …, 2024 - ieeexplore.ieee.org
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as
minimal motion blur and enhanced dynamic range, compared to conventional frame-based …

Controllable unsupervised event-based video generation

Y Zhao, P Zhang, C Wang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The advent of event cameras, with their unique asynchronous sensing capabilities to
capture the edge details of moving objects, has sparked new directions in video generation …

SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep

J Wu, S Zhu, C Wang, B Shi, EY Lam - arxiv preprint arxiv:2412.11579, 2024 - arxiv.org
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 …

Harnessing Noise for Materials Differentiation in Computational Neuromorphic Imaging

S Zhu, C Wang, P Zhang… - 2024 9th Optoelectronics …, 2024 - ieeexplore.ieee.org
Event cameras are emerging neuromorphic devices with more attractive properties than
conventional ones, which asynchronously capture per-pixel luminance changes. However …