Leveraging Synthetic Images to Enhance Transfer Learning: An Investigation into Data Generation, Volume, and Stylistic Alignment

Synthetic images generated by text-to-image models can be effectively leveraged to improve the transferability and performance of ImageNet pre-trained models on downstream datasets, through a two-stage bridged transfer learning framework and by aligning the style of synthetic and real images.