Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models

Dongzhuo Li

Deep generative models such as GANs, normalizing flows, and diffusion models are powerful regularizers for inverse problems. They exhibit great potential for helping reduce ill-pos…