Exploring the Design Space of Diffusion Autoencoders for Face Morphing

Face morphs created by Diffusion Autoencoders are a recent innovation and the design space of such an approach has not been well explored. We explore three axes of the design space, i.e., 1) sampling algorithms, 2) the reverse DDIM solver, and 3) partial sampling through small amounts of added noise.