Event-based Optical Flow
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Benchmarks
MVSEC
Most implemented
eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
Event-based Background-Oriented Schlieren
Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation
Papers
Event-based Motion & Appearance Fusion for 6D Object Pose Tracking
Object pose tracking is a fundamental and essential task for robotics to perform tasks in the home and industrial settings. The most commonly used sensors to do so are RGB-D cameras, which can hit limitations in highly d…
Event-based Optical FlowPose TrackingUEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow
Underwater imaging is fundamentally challenging due to wavelength-dependent light attenuation, strong scattering from suspended particles, turbidity-induced blur, and non-uniform illumination. These effects impair standa…
Event-based Optical FlowDESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training
Video frame prediction extrapolates future frames from previous frames, but suffers from prediction errors in dynamic scenes due to the lack of information about the next frame. Event cameras address this limitation by c…
Video Frame InterpolationEvent-based Optical FlowInertia-Informed Orientation Priors for Event-Based Optical Flow Estimation
Event cameras, by virtue of their working principle, directly encode motion within a scene. Many learning-based and model-based methods exist that estimate event-based optical flow, however the temporally dense yet spati…
Event-based Optical Flow6-DoF Object Tracking with Event-based Optical Flow and Frames
Tracking the position and orientation of objects in space (i.e., in 6-DoF) in real time is a fundamental problem in robotics for environment interaction. It becomes more challenging when objects move at high-speed due to…
Event-based Optical FlowPose EstimationObject TrackingPose TrackingSpatio-Temporal State Space Model For Efficient Event-Based Optical Flow
Event cameras unlock new frontiers that were previously unthinkable with standard frame-based cameras. One notable example is low-latency motion estimation (optical flow), which is critical for many real-time application…
Computational EfficiencyEvent-based Optical FlowMotion EstimationOptical Flow Estimation+1