ConvDiff builds a convolution-based diffusion trajectory from clean to blurred images in the frequency domain for Gaussian deblurring.
Progressivedeblurringofdiffusion models for coarse-to-fine image synthesis,
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RF-CMG synthesizes high-quality mmWave and RFID signals from WiFi using a diffusion model with Modality-Guided Embedding for high-frequency details and Low-Frequency Modality Consistency to preserve physical structure.
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Stop Denoising Your Blurs
ConvDiff builds a convolution-based diffusion trajectory from clean to blurred images in the frequency domain for Gaussian deblurring.
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Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing
RF-CMG synthesizes high-quality mmWave and RFID signals from WiFi using a diffusion model with Modality-Guided Embedding for high-frequency details and Low-Frequency Modality Consistency to preserve physical structure.