2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
NeurIPS 2024poster
In ill-posed imaging inverse problems, there can exist many hypotheses that fit both the observed measurements and prior knowledge of the true image. Rather than returning just one hypothesis of that image, posterior samplers aim to explore the full solution space by generating many probable hypothe…