Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators

Diffusion models are capable of generating impressive images conditioned on text descriptions, and extensions of these models allow users to edit images at a relatively coarse scale. However, the ability to precisely edit the layout, position, pose, and shape of objects in images with diffusion models is still difficult. To this end, we propose motion guidance, a zero-shot technique that allows a user to specify dense, complex motion fields that indicate where each pixel in an image should move. Motion …

cs.cv differentiable diffusion diffusion models edit editing extensions guidance image images objects scale text