Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning
Recently, CLIP-guided image synthesis has shown appealing performance on adapting a pre-trained source-domain generator to an unseen target domain. It does not require any target-domain samples but only the textual domain labels. The training is highly efficient, e.g., a few minutes. However, existing methods still have some limitations in the …