2026
LoFA: Learning to Predict Personalized Prior for Fast Adaptation of Visual Generative Models
CVPR 2026
Personalizing visual generative models to meet specific user needs has gained increasing attention, yet current methods like Low-Rank Adaptation (LoRA) remain impractical due to their demand for task-specific data and lengthy optimization. While a few hypernetwork-based approaches attempt to predict