Preprint Open access
Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation
Diffusion-based unsupervised domain adaptation (UDA) improves cross-domain transfer by generating target-specific synthetic data for downstream adaptation. Existing methods are largely designed for single-target adaptation: when a model trained on one labeled source domain must be adapted to multiple unlabeled target d …