e444859b2a22df6b56af9381ad1e9480-Supplemental-Conference.pdf

We do not consider the uncertainty-based models (e.g., Monte Carlo (MC) dropout [ Figure 5: Blurred and restored images using different image denoising methods. All images are normalized and augmented by random horizontal flipping. Five networks with ResNet-18 are trained from scratch using PyTorch 1.9.0. Default PyTorch initialization is used on all layers. The model warm-up can help better separate noisy data and clean data.