2024
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
CVPR 2024poster
The data bottleneck has emerged as a fundamental challenge in learning based image restoration methods. Researchers have attempted to generate synthesized training data using paired or unpaired samples to address this challenge. This study proposes SeNM-VAE a semi-supervised noise modeling method th…