Morphganformer
http://www.zhuhu00.top/blog/2024/2024-02-21-Arxiv_Daily/ Web1 code implementation • 14 Dec 2024 • Xin Li , Xiangrui Li , Deng Pan , Dongxiao Zhu. This inspires us to propose a new Probabilistically Compact (PC) loss with logit constraints which can be used as a drop-in replacement for cross-entropy (CE) loss to improve CNN's adversarial robustness. Adversarial Robustness.
Morphganformer
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WebMar 26, 2024 · Official repository of the paper: MorphGANFormer: Transformer-based Face Morphing and De-Morphing. transformer face morphing demorphing Updated Feb 27, … WebOct 27, 2024 · The proposed FSL based on the fusion of the PRNU model and Noiseprint network is extended from binary MAD to multiclass morphing attack fingerprinting (MAF), and extensive experimental results show the outstanding performance of the fusion-based FS-MAF. —The vulnerability of face recognition systems to morphing attacks has posed …
Weband our MorphGANFormer (ours contain fewer visual artifacts). used to achieve an improved trade-off between the recognition vulnerability and the detectability of the … WebDec 29, 2024 · Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images. Recent studies focus on using auxiliary information or prior knowledge to capture robust manipulation traces, …
WebSpatial Latent Representations in Generative Adversarial Networks for Image Generation. no code yet • 25 Mar 2024 In this work, we define a family of spatial latent spaces for … WebFeb 6, 2024 · FEAT: Face Editing with Attention. Employing the latent space of pretrained generators has recently been shown to be an effective means for GAN-based face …
WebSecond, we extend the study of transformer-based face morphing to demorphing by presenting an effective defense strategy with access to a reference image using the same generator of MorphGANFormer. Such demorphing is conceptually similar to unmixing of hyperspectral images but operates in the latent (instead of pixel) space.
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