3 papers
eess.IV2025
On Uncertainty Prediction for Deep-Learning-based Particle Image Velocimetry
Wei Wang, Jeremiah Hu, Jia Ai +1
Particle Image Velocimetry (PIV) is a widely used technique for flow measurement that traditionally relies on cross-correlation to track the displacement. Recent advances in deep l…
physics.flu-dyn2025
FED-PV: A Large-Scale Synthetic Frame/Event Dataset for Particle-Based Velocimetry
Fan Wu, Xiang Feng, Aoyu Zhang +1
Particle-based velocimetry (PV) is a widely used technique for non-invasive flow field measurements in fluid mechanics. Existing PV measurements typically rely on a single type of…
cs.CV2025
PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIV
Qianyu Zhu, Junjie Wang, Jeremiah Hu +2
Deep learning algorithms have significantly reduced the computational time and improved the spatial resolution of particle image velocimetry~(PIV). However, the models trained on s…