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Related Experiment Video

Updated: Jun 10, 2026

A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

EventTracer: Fast Path Tracing-based Event Stream Rendering.

Zhenyang Li, Xiaoyang Bai, Jinfan Lu

IEEE Transactions on Visualization and Computer Graphics

|June 8, 2026

Summary

This summary is machine-generated.

EventTracer simulates high-fidelity event streams from 3D scenes using efficient path tracing. This method generates realistic event data, bridging the sim-to-real gap in event-based vision research.

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Last Updated: Jun 10, 2026

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Area of Science:

Computer Vision
Computational Imaging

Background:

Simulating event streams from 3D scenes is crucial for event-based vision research.
Existing methods often produce low-temporal-resolution simulations due to costly rendering processes.

Purpose of the Study:

To develop an efficient and physics-aware rendering pipeline for high-fidelity event sequence simulation.
To improve the realism and temporal resolution of simulated event data.

Main Methods:

EventTracer utilizes path tracing for rendering complex 3D scenes.
Low sample-per-pixel (SPP) path tracing speeds up rendering.
A lightweight event spiking network denoises RGB videos into realistic event sequences.

Main Results:

EventTracer achieves efficient simulation speeds (approx. 1 minute per second of 360p video).
The pipeline accurately models spatiotemporal information.
Simulations show higher fidelity and greater similarity to real-world event data compared to alternatives.

Conclusions:

EventTracer offers a potential solution for generating large-scale event-RGB datasets.
It effectively narrows the sim-to-real gap in event-based vision.
The method can significantly boost downstream applications in event-based vision.