Some literature which might be useful: Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models; LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions.
Some literature which might be useful: Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models; LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions.