MFC-RFNet integrates multi-scale bidirectional communication, condition-guided alignment, and rectified flow to produce clearer and more skillful radar precipitation forecasts than prior baselines on four public datasets.
Learning spatiotemporal features with 3dcnn and convgru for video anomaly detection
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MFC-RFNet: A Multi-scale Guided Rectified Flow Network for Radar Sequence Prediction
MFC-RFNet integrates multi-scale bidirectional communication, condition-guided alignment, and rectified flow to produce clearer and more skillful radar precipitation forecasts than prior baselines on four public datasets.