Abstract: In recent years, Variational Autoencoders (VAEs) have attracted considerable interest due to their capability to generate high-fidelity data while safeguarding user privacy through ...
Abstract: Accurate extraction of time-varying instantaneous frequency (IF) is crucial for fault diagnosis in rotating machinery operating under time-varying speed conditions, as real-world signals ...
Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
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