Event-based Optical Flow

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Most implemented papers

Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks

chan8972/Spike-FlowNet ECCV 2020

Spiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to the spike vanishing phenomenon.

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation

ruizhao26/ste-flownet 10 Sep 2021

Recently, many deep learning methods have shown great success in providing promising solutions to many event-based problems, such as optical flow estimation.

Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras

vbrebion/rt_of_low_high_res_event_cameras 20 Dec 2021

As an answer to these points, we propose an optimized framework for computing optical flow in real-time with both low- and high-resolution event cameras.

Secrets of Event-Based Optical Flow

tub-rip/event_based_optical_flow 20 Jul 2022

Event cameras respond to scene dynamics and offer advantages to estimate motion.