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Preference alignment on diffusion models: A comprehensive survey for image generation and editing | Synapse
March 3, 2026
Open Access
Preference alignment on diffusion models: A comprehensive survey for image generation and editing
SW
Sihao Wu
XS
Xiaonan Si
University of Science and Technology of China
CX
Chi Xing
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Key Points
Preference alignment in diffusion models aids in better image generation and editing outcomes, enhancing user satisfaction.
Key insights reveal that aligning preferences significantly improves the performance of image generation techniques.
Comprehensive survey assesses various diffusion models, focusing on how preference alignment influences their effectiveness.
Findings suggest that better alignment with user preferences may lead to more intuitive and effective image editing tools.
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Wu et al. (Fri,) studied this question.
synapsesocial.com/papers/69a76746badf0bb9e87e03e5
https://doi.org/https://doi.org/10.1016/j.cosrev.2026.100900