Fine-tuning a diffusion-based optical flow network, pretrained on natural videos, onto synthetic particle images cuts average end-point error by 59.4% versus RAFT256-PIV on Cai's benchmark and improves out-of-domain accuracy.
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PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIV
Fine-tuning a diffusion-based optical flow network, pretrained on natural videos, onto synthetic particle images cuts average end-point error by 59.4% versus RAFT256-PIV on Cai's benchmark and improves out-of-domain accuracy.