Analyzing Interpretability in Synthetic Image Use

This ArXiv article likely investigates methods to assess the usefulness of synthetic images based on how easily their features can be understood. Understanding the interpretability of synthetic image generation is crucial for its responsible application across various domains.

• •Focuses on understanding the utility of synthetic images.
• •Investigates the interpretability of synthetic image features.
• •Potentially explores methods for evaluating image similarity.