Скачать или смотреть Revolutionizing Computer Graphics: Neural Denoising of Surfaces and Volumes Explained!

Welcome to another enlightening episode where we delve into the groundbreaking research in the realm of computer graphics. In this video, we unpack the fascinating paper, "Joint Neural Denoising of Surfaces and Volumes" by Nikolai Hofmann, Jon Hasselgren, and Jacob Munkberg.

This research presents a novel approach to denoising Monte Carlo renderings in scenes containing both surface geometry and volumes, a task that has long challenged the computer graphics community. The authors propose a method that enables combined volume and surface denoising in real time from low sample count renderings. This innovative technique decomposes the rendered image into volume and surface layers, applies spatio-temporal neural denoisers to both components, and then composites the denoised signals based on volume transmittance.

Join us as we explore this significant contribution to the field of computer graphics, which could revolutionize both offline and real-time rendering. Whether you're a seasoned professional or a curious enthusiast, this video is sure to provide you with valuable insights. Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest content!