MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. (arXiv:2209.11047v2 [cs.CV] UPDATED)

We present a novel method for exemplar-based image translation, called
matching interleaved diffusion models (MIDMs). Most existing methods for this
task were formulated as GAN-based matching-then-generation framework. However,
in this framework, matching errors induced by the difficulty of semantic
matching across cross-domain, e.g., sketch and photo, can be easily propagated
to the generation step, which in turn leads to degenerated results. Motivated
by the recent success of diffusion models overcoming the shortcomings of GANs,
we incorporate the diffusion models to …

arxiv diffusion diffusion models image translation