WebStarGAN v2 文献全称：StarGAN v2: Diverse Image Synthesis for Multiple Domains 文献出处：[J]. arXiv: Computer Vision and Pattern Recognition, 2024 数据集：CelebA-HQ、AFHQ 评价标准：FID、LPIPS、AMT User Studyhtml 论文贡献（亮点） 跳出 WebJan 3, 2024 · Regional facial image synthesis conditioned on a semantic mask has achieved great attention in the field of computational visual media. However, the appearances of different regions may be inconsistent with each other after performing regional editing. In this paper, we focus on harmonized regional style transfer for facial …

Multimodal Unsupervised Image-To-Image Translation

WebDiverse Image Synthesis for Multiple Domains - CVF Open Access WebDec 1, 2024 · Semantic Image Synthesis. Image-to-image synthesis methods translate an input image from a source domain to a target domain, and remarkable results have been achieved in many fields [5]. Pix2pix [17] was the first general supervised solution for translation tasks based on conditional GANs [34] with paired data. datetime python 3

clovaai/stargan-v2-tensorflow - Github

WebStarGAN v2: Diverse Image Synthesis for Multiple Domains. clovaai/stargan-v2 • • CVPR 2024 A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) scalability over multiple domains. WebStarGAN v2: Diverse Image Synthesis for Multiple Domains. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha; Proceedings of the IEEE/CVF Conference on Computer … WebNov 11, 2024 · With the style code, the proposed model can generate different face images matching the input face mask, and by manipulating the face mask, we can finely control … bjh adsorption