The physical validation of computer-generated images (CGIs) has received a lot of attention from the computer
graphics community, as opposed to the assessment of these images' psychovisual quality. The field indeed lacks
the proper tools to quantify the perceptual quality of a CGI. This paper engages in the construction of such a
metric. A psychovisual experiment was submitted to a representative panel of observers, where participants were
asked to score the overall quality and aspects of this quality for several CGIs. An analytical model was fit to
the data, giving insight into the relative perceptual importances of these aspects. Accuracy in the simulation of
shadows, good contrast and absence of noise were found to have a major impact on the perceived quality, rather
than precise anti-aliasing and faithfull color bleeding.