Noise optimization during sampling recovers diversity in mode-collapsed diffusion models while preserving output fidelity.
Guiding a diffusion model with a bad version of itself.NeurIPS, 2024
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It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
Noise optimization during sampling recovers diversity in mode-collapsed diffusion models while preserving output fidelity.