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.
Physics-motivated features for distinguishing photographic images and computer graphics,
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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.