Web14 de abr. de 2024 · This paper proposes a “recurrent cycle consistency loss” which for different sequences of target attributes minimises the distance between the output images, independent of any intermediate step, and empirically validate not only that the re-use of generated images, but that it also improves their quality. This paper addresses a major … Web文中提出 HifaFace,用来解决在人脸编辑任务中出现的隐藏原始图像的信息的问题。 作者 Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui …
[Paper Review] Countering Malicious DeepFakes: Survey, …
Web29 de mar. de 2024 · HifaFace Input Eyeglasses Smile Gender Input Smile Input Close mouth Figure 5: Comparison of attribute-based face editing results obtained by the … Websuch as StarGAN [6] STGAN [26], HifaFace [11], and TediGAN [43] has enabled high fidelity image creation, or even enable interactive facial attribute editing. Identity swap methods generate fake videos by replacing the face . methods such as FaceSwap 1 and deep learning based methods like DeepFakes 2. The recent deep learning based … popular now on bjl
GuidedStyle: Attribute knowledge guided style manipulation for …
Web29 de mar. de 2024 · Cycle consistency is widely used for face editing. However, we observe that the generator tends to find a tricky way to hide information from the original … WebHifaFace Introduction. This is the project site of the High-Fidelity and Arbitrary Face Editing. Paper: arXiv Dataset: CelebaHQ FFHQ. Abstract. Cycle consistency is widely used for … WebWe propose a simple yet effective method named hifaface to address the above-mentioned problem from two perspectives. First, we relieve the pressure of the generator to synthesize rich details by directly feeding the high-frequency information of the input image into the end of the generator. popular now on bkf