A two-stage diffusion pipeline, DCSR, removes solver and noise biases from low-resolution data using an imbalanced SDEdit step, then upscales the corrected fields with cascaded conditional diffusion models.
A new generative adversarial network for medical images super resolution
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Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution
A two-stage diffusion pipeline, DCSR, removes solver and noise biases from low-resolution data using an imbalanced SDEdit step, then upscales the corrected fields with cascaded conditional diffusion models.