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Computational flow visualization to reveal hidden properties of complex flow with optical and computational methods
Flow visualization has long played a crucial role in understanding complex fluid dynamics,
especially reactive flows, but traditional techniques face limitations in realizing the …
especially reactive flows, but traditional techniques face limitations in realizing the …
Ev-GS: Event-based gaussian splatting for efficient and accurate radiance field rendering
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as
minimal motion blur and enhanced dynamic range, compared to conventional frame-based …
minimal motion blur and enhanced dynamic range, compared to conventional frame-based …
Controllable unsupervised event-based video generation
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 …
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
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 …
using 3D Gaussian primitives for high-speed, high-fidelity, and cost-efficient novel view …
Harnessing Noise for Materials Differentiation in Computational Neuromorphic Imaging
Event cameras are emerging neuromorphic devices with more attractive properties than
conventional ones, which asynchronously capture per-pixel luminance changes. However …
conventional ones, which asynchronously capture per-pixel luminance changes. However …