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Self-Guidance: Boosting Flow and Diffusion Generation on Their Own

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Self-Guidance significantly boosts image quality by reducing low-quality sample generation.
Extensive experiments show SG outperforms existing methods in both FID and human preference metrics.
An efficient variant, SG-prev, achieves 50% better efficiency while maintaining high quality.
Both SG and SG-prev effectively eliminate human body artifacts in generated images.

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Self-Guidance improves generation metrics in text-to-image and video, suggesting broader application for diffusion models.

Li et al. (2025) studied this question.

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