Learning Common and Salient Generative Factors Between Two Image Datasets

This article describes research focused on identifying shared and important underlying factors in two image datasets. The core idea likely involves techniques to disentangle and understand the generative processes behind the images, potentially improving image generation, understanding, or transfer learning capabilities. The use of 'salient' suggests an emphasis on identifying the most critical factors.