Diffusion-based image style transfer via parameter-free saliency recalibration
Image style transfer focuses on rendering a content image with the visual appearance of a reference artwork while keeping its main semantic layout unchanged. StyleID enables image-guided stylization without additional training by recording attention features during DDIM inversion, yet its results may still suffer from...