公开(公告)号：US12094091B2

公开(公告)日：2024-09-17

申请号：US17557326

申请日：2021-12-21

Applicant: Dassault Systemes

Inventor： Andreas Weinmann ,  Holger Dammertz

IPC: G06T5/00 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T5/50 ,  G06T5/70

CPC classification number: G06T5/70 ,  G06N3/04 ,  G06N3/08 ,  G06T3/40 ,  G06T5/50 ,  G06T2207/20016 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20224

Abstract: A computer-implemented method of machine learning including learning a Convolutional Neural Network (CNN) architecture for estimating a degradation generated by a denoiser on a ray traced image. The method includes obtaining a dataset and learning the CNN architecture based on the obtained dataset. The learning including taking as input an image generated by the denoiser and a corresponding noisy image of the provided dataset and outputting an error map. This forms an improved solution with respect to estimating a degradation generated by a denoiser on a ray traced image.