Boundary Guided Learning-Free Semantic Control with Diffusion Models Y e Zhu 1,2, Y u Wu

Applying pre-trained generative denoising diffusion models (DDMs) for downstream tasks such as image semantic editing usually requires either fine-tuning DDMs or learning auxiliary editing networks in the existing literature.