The Unmet Promise of Synthetic Training Images: Using Retrieved Real
Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real
Images Performs Better
Generative text-to-image models enable us to synthesize unlimited amounts of images in a controllable manner, spurring many recent efforts to train vision models with synthetic data. However, every synthetic image ultimately originates from the upstream data used to train the generator. What additional value does the intermediate generator provide over …