Inversion-based Style Transfer with Diffusion Models

Figure 1 . Style transfer results using the proposed method. Given only a single input painting, our method can accurately transfer the style attributes such as semantics, material, object shape, brushstrokes and colors of the references to a natural image with a very simple learned textual description "[C]".