Pathways on the Image Manifold: Image Editing via Video Generation

Understand

Recent advances in image editing, driven by image diffusion models, have shown remarkable progress.

• However, significant challenges remain, as these models often struggle to follow complex edit instructions accurately and frequently compromise fidelity by altering key elements of the original image.
• Simultaneously, video generation has made remarkable strides, with models that effectively function as consistent and continuous world simulators.
• In this paper, we propose merging these two fields by utilizing image-to-video models for image editing.