Event-based Optical Flow
13 papers with code • 1 benchmarks • 3 datasets
MVSEC
DSEC
Most implemented papers
Event-based Background-Oriented Schlieren
uzh-rpg/event-based_vision_resources
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Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding.
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
We further present a synthetic event-based datasets and data generation pipelines for optical flow prediction tasks.
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
chan8972/Spike-FlowNet
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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
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
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
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Event cameras respond to scene dynamics and offer advantages to estimate motion.
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
wponghiran/temporally_dense_flow
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ICCV 2023
In this work, we show that a temporally dense flow estimation at 100Hz can be achieved by treating the flow estimation as a sequential problem using two different variants of recurrent networks - Long-short term memory (LSTM) and spiking neural network (SNN).
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
tudelft/idnet
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Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, rendering them unsuitable for robotic applications with limited compute and energy budget.
TMA: Temporal Motion Aggregation for Event-based Optical Flow
In this paper, we argue that temporal continuity is a vital element of event-based optical flow and propose a novel Temporal Motion Aggregation (TMA) approach to unlock its potential.
IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
shicy17/ido-vfi
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The proposed method first estimates the optical flow based on frames and events, and then decides whether to further calculate the residual optical flow in those sub-regions via a Gumbel gating module according to the optical flow amplitude.
