Single class few-shot image synthesis

The task of few-shot single-class image synthesis aims to learn a generative model that can create new samples with similar visual attributes using only a few input images from the same category. This task holds significant application value in the field of computer vision, effectively addressing data scarcity issues and enhancing the generalization and creativity of models.