SRT: Super-Resolution for Time Series via Disentangled Rectified Flow 事件

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow arXiv:2606.07605v1 Announce Type: cross Abstract: Fine-grained time series data with high temporal resolution is critical for accurate analytics across a wide range of applications. However, the acquisition of such data is often limited by cost and feasibility. This problem can be tackled by reconstructing high-resolution signals from low-resolution inputs based on specific priors, known as super-resolution. While extensively