Web15 de mar. de 2024 · in the field of the interpretability of generative adversarial. networks (GANs). This paper proposes a generic method to. modify a traditional GAN into an … Web6 de nov. de 2024 · For example, HiFaFace uses high-fidelity domain adversarial loss, and Nederhood et al. used the hinge version of the normal adversarial loss. Furthermore, the methods of this category use a wide range of discriminators. FacialGAN, inspired by StarGAN v2, uses a multitask discriminator. HifaFace proposed a high-frequency …
CooGAN: A Memory-Efficient Framework for High-Resolution …
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 image to satisfy the constraint of cycle consistency, making it impossible to maintain the rich details (e.g., wrinkles and moles) of non-editing areas. In this work, … Ver mais This is the project site of the High-Fidelity and Arbitrary Face Editing. Paper: arXiv Dataset: CelebaHQ FFHQ Ver mais Cycle consistency in CycleGANs causes steganography. The key idea of our method is to adopt a wavelet-based generator and a high-frequency discriminator. Ver mais Web29 de nov. de 2024 · 循环一致性广泛用于人脸编辑。然而,生成器倾向于为满足循环一致性的约束,无法保持丰富细节。这项工作提出HifaFace,从两个角度解决上述问题。首先,通过将输入图像的高频信息直接馈送到生成器的末端来减轻生成器合成丰富细节的压力。 chinese takeaways in barnoldswick
High-Fidelity and Arbitrary Face Editing - ResearchGate
Web9 de abr. de 2024 · (7) HifaFace. AttGAN, StarGAN 은 훈련 중 주기 일관성을 사용하여 원하지 않는 속성 변조를 방지하는데 입력 이미지의 세부 사항을 새로운 이미지에 매핑하기 때문에 사이클 일관성을 보장할 수 없다. 원하지 않는 속성의 디테일을 유지하기 위해 HifaFace 을 … Web22 de dez. de 2024 · HifiFace — Unofficial Pytorch Implementation. Image source: HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping (figure 1, pg. 1) This … WebIn this work, we propose a simple yet effective method named HifaFace to address the above-mentioned problem from two perspectives. First, we relieve the pressure of the … chinese takeaways in bognor regis