Researchers from Gwangju Institute of Science and Technology Develop a New Method for Denoising Images
GWANGJU, South Korea, Sept. 20, 2022 /PRNewswire/ -- High-quality visual displays rendered using the "path tracing" algorithm are often noisy. Recent supervised learning-based denoising algorithms rely on external training dataset, take long to train, and do not work well when the training and test images are different. Now, researchers from Gwangju Institute of Science and Technology, VinAI Research and University of Waterloo have put forth a novel self-supervised post-correction network that improves the denoising performance without relying on a reference.