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Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection. (arXiv:2209.03322v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Distinguishing between computer-generated (CG) and natural photographic (PG)
images is of great importance to verify the authenticity and originality of
digital images. However, the recent cutting-edge generation methods enable high
qualities of synthesis in CG images, which makes this challenging task even
trickier. To address this issue, a joint learning strategy with deep texture
and high-frequency features for CG image detection is proposed. We first
formulate and deeply analyze the different acquisition processes of CG and PG
images. Based on …
arxiv computer computer-generated detection features generated image image detection