MGDM approximates the intractable guided-diffusion posterior with a weighted mixture of likelihood approximations and samples the mixture using a Gibbs sampler with tunable repetitions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Mixture-Based Framework for Guiding Diffusion Models
MGDM approximates the intractable guided-diffusion posterior with a weighted mixture of likelihood approximations and samples the mixture using a Gibbs sampler with tunable repetitions.