Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance

Paul Kuo-Ming Huang, Si-An Chen, Hsuan-Tien Lin

Score-based generative models (SGMs) are a popular family of deep generative models that achieve leading image generation quality. Early studies extend SGMs to tackle class-conditi…