A Swin Transformer classifier distinguishes computer-generated images from natural photos best in RGB color space, with reported accuracies from 90 to 98 percent on three public datasets.
Identifying computer graphics using HSV color model and statistical moments of characteristic functions,
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Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces
A Swin Transformer classifier distinguishes computer-generated images from natural photos best in RGB color space, with reported accuracies from 90 to 98 percent on three public datasets.