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DG-CFG not only enhances image generation quality but also reduces sampling costs by achieving target metrics with fewer steps, challenging the conventional wisdom of fixed guidance schedules.
Diffusion models can now solve full-waveform inversion problems more robustly than traditional optimization or standard diffusion posterior sampling, even with noisy data.
