Hyunwoo J. Kim*

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems

"Recent studies on inverse problems have proposed posterior samplers that leverage the pre-trained diffusion models as powerful priors. These attempts have paved the way for using diffusion models in a wide range of inverse problems. However, the existing methods entail computationally demanding ite…