High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model

Relightable portrait animation aims to animate a static reference portrait to match the head movements of a driving video while adapting to user-specified or reference lighting conditions. Existing portrait animation methods fail to achieve relightable portraits because they do not separate and manipulate intrinsic (identity and appearance)