Personalize at Test Time: Learning User Preferences for Image Generation.

arXiv:2610.09015v1 Announce Type: cross Abstract: Diffusion models can generate high-quality images, yet aligning their outputs with individual user preferences remains challenging. A key bottleneck is accurately modeling diverse user preferences from limited