ILVR
Iterative Latent Variable Refinement
**Iterative Latent Variable Refinement**, or **ILVR**, is a method to guide the generative process in denoising diffusion probabilistic models (DDPMs) to generate high-quality images based on a given reference image. ILVR conditions the generation process in well-performing unconditional DDPM. Each transition in the generation process is refined utilizing a given reference image. By matching each latent variable, ILVR ensures the given condition in each transition thus enables sampling from a conditional distribution. Thus, ILVR generates high-quality images sharing desired semantics.
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
https://paperswithcode.com/paper/ilvr-conditioning-method-for-denoising
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models