Guoying Zhao, Qing Liu, Yingli Tian, Ali Salar
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Noise-based Makeup-based Diffusion-based 48.38 38.58 * indicates the corresponding author human observers to recognize the generated image as having the same identity as the original. Extensive experiments conducted on two public datasets, i.e., CelebA-HQ and LADN, demonstrate the superiority of our approach. The protected faces generated by our method outperform those produced by existing facial privacy protection approaches
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2503.10350")
get_code_for_paper("2503.10350")
have("2503.10350")
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