<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository serves as a comprehensive, curated index of resources for event-based vision, also known as Dynamic Vision Sensors (DVS) or neuromorphic vision. It targets researchers and practitioners by systematically organizing a vast collection of academic papers, hardware, software tools, and datasets, aiming to accelerate development and understanding in this specialized computer vision domain.

How It Works

The repository functions as an organized catalog, categorizing numerous academic papers (often linked to arXiv or institutional repositories), hardware manufacturers (iniVation, Prophesee, Lucid, IDS), software/SDKs (Metavision SDK), simulators (ESIM, v2e, CARLA DVS), and datasets (real-world and synthetic). Its primary mechanism is structured curation, enabling users to efficiently locate relevant information across the event-based vision ecosystem.

Quick Start & Requirements

This repository is a curated collection of resources, not executable code. Therefore, there are no installation commands or direct prerequisites for the repository itself.

Highlighted Details

• Extensive Paper Catalog: Lists thousands of papers categorized by conference (CVPR, ECCV, ICCV, WACV) and workshop, spanning from 2015 to 2025, with a focus on recent innovations and comprehensive surveys.
• Hardware and Software Ecosystem: Provides a clear overview of major event camera manufacturers and their associated software development kits and simulators.
• Dataset Compendium: Features a detailed list of both real-world and synthetic event-based datasets, crucial for training and benchmarking algorithms.
• Active Curation: Highlights recent publications, workshops, and a recent update date (05/13/2025), indicating ongoing maintenance.

Maintenance & Community

Curated by Bharatesh Chakravarthi, Ph.D. and Aayush Atul Verma, the repository shows signs of active maintenance through recent workshop announcements and paper additions. Specific community links (Discord/Slack) are not detailed in the provided text.

Licensing & Compatibility

The repository's own license is not specified. It notes that some linked papers may require academic licenses. Commercial use compatibility depends on the licenses of individual linked resources, which are not detailed.

Limitations & Caveats

As a pointer to external resources, direct access to all linked papers may require academic subscriptions. The repository itself is an index, not a functional tool. The comprehensiveness of coverage for every niche within event-based vision is not explicitly detailed.