2025
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
CVPR 2025poster
Personalizing diffusion models using limited data presents significant challenges, including overfitting, loss of prior knowledge, and degradation of text alignment. Overfitting leads to shifts in the noise prediction distribution, disrupting the denoising trajectory and causing the model to lose se…