A New Method for Denoising Images
Gwangju Institute of Science and Technology (South Korea)
September 13, 2022
Researchers from South Korea's Gwangju Institute of Science and Technology (GIST), Vietnam's VinAI Research, and Canada's University of Waterloo have developed a reference-free image denoising method. The new approach uses a post-correction network and a self-supervised machine learning framework to improve the quality of path-traced visuals. The model tripled the quality of rendered images relative to input images by preserving finer details, and could be trained on the fly to output final images in just 12 seconds. Said GIST's Bochang Moon, "Our approach is the first that does not rely on pre-training with an external dataset. This, in effect, will shorten the production time and improve the quality of offline rendering-based content such as animation and movies." ... '
No comments:
Post a Comment