Fewshot-SMIS

Fewshot-SMIS leverages a pre-trained StyleGAN model to synthesize photorealistic images from minimal semantic annotations, such as dense or sparse labels, making it well-suited for applications needing quick image generation with limited data. The tool's notable features include one-shot learning capabilities, flexible dataset support for training custom encoders, and detailed instructions for inference and training across various datasets like CelebAMask and LSUN.