公开(公告)号：US20230146390A1

公开(公告)日：2023-05-11

申请号：US17981074

申请日：2022-11-04

Applicant: Intel Corporation

Inventor： Nabil Sadaka ,  Anton Kaplanyan ,  Vladimir Travkin ,  Dmitry Kozlov

IPC: G06T11/40 ,  G06T7/00 ,  G06T5/00 ,  G06T5/50

CPC classification number: G06T11/40 ,  G06T5/002 ,  G06T5/50 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: An apparatus to facilitate trainable visual quality metrics for measuring rendering quality in a graphics environment is disclosed. The apparatus includes a set of processing resources configured to perform a supersampling anti-aliasing operation, the set of processing resources including circuitry to: receive, at a trained visual quality neural network, a sampled signal for visual quality measurement, wherein the sampled signal comprises a reference image of current frame of a video, and wherein the reference image comprising an original image prior to a reconstruction process being applied to the original image; generate, by the trained visual quality neural network, a prediction of a visual quality score for the reconstructed image corresponding to the sampled signal; and notify, by the trained visual quality neural network, a visual quality measurement system of the prediction of the visual quality score for the reconstructed image.