Multi class one-shot image synthesis

The goal of multi-class single-shot image synthesis is to learn a generative model that can produce samples with visual attributes from as few as one or more images of at least two related categories. This technique has significant application value in the field of computer vision, effectively enhancing the diversity and flexibility of image generation, and is suitable for image synthesis tasks under few-shot learning scenarios.