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.