no code implementations • 24 Oct 2023 • Huihui Wang, Guixian Xu, Qingping Zhou
This study aims to investigate the potential of three DGMs-variational autoencoder networks, normalizing flow, and score-based diffusion model-to learn implicit regularizers in learning-based EIT imaging.
no code implementations • 16 Apr 2023 • Guixian Xu, Huihui Wang, Qingping Zhou
Our Anderson acceleration scheme to enhance HQSNet is generic and can be applied to improve the performance of various physics-embedded deep learning methods.