Real-Time Monte Carlo Denoising With Adaptive Fusion Network

Real-Time Monte Carlo Denoising With Adaptive Fusion Network

Real-time Monte Carlo denoising aims to denoise a 1spp-rendered image with a limited time budget. Many latest techniques for real-time Monte Carlo denoising utilize temporal accumulation (TA) as a pre-processing to improve the temporal stability of successive frames and increase the effective spp. H...

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Bibliographic Details
Main Authors: Junmin Lee, Seunghyun Lee, Min Yoon, Byung Cheol Song
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image processing
rendering
real-time de-noising
Online Access:https://ieeexplore.ieee.org/document/10444103/

Internet

https://ieeexplore.ieee.org/document/10444103/

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