Dongzhuo Li

Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models

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-posedness and attain high-quality results. However, the latent tensors of such deep generative models can fall out of the d…