Unless stated otherwise we use American English for transcriptions.

That which we call a rose by any other name would smell as sweet."

Does knowledge distillation really work?

The power of DNNs relies heavily on the quantity and quality of training data. However, collecting and annotating data on a large scale is often expensive and time-consuming.

Diffusion models (DMs) have recently gained attention with state-of-the-art performance in text-to-image synthesis.

We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts.