如表2 所示,研究者在 ImageNet 上对比了 StyleGAN-XL 和现有最强大的 GAN 模型及扩散模型的图像合成性能。 有趣的是,StyleGAN-XL 在所有分辨率下都实现了高度的多样性,这可以归功于渐进式生长策略。此外,这种策略使扩大到百万像素分辨率的合成变成可能。 在1024^2 这一分辨率下,StyleGAN-XL 没有与 baseline 进...
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This repository contains code for our SIGGRAPH'22 paper "StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets" byAxel Sauer,Katja Schwarz, andAndreas Geiger. If you find our code or paper useful, please cite @InProceedings{Sauer2021ARXIV,author={Axel Sauer and Katja Schwarz and Andreas Geiger...
Stylegan- xl: Scaling stylegan to large diverse datasets. In ACM SIG- GRAPH Conference Proceedings, pages 1–10, 2022. [44] Yichun Shi and Anil K Jain. Probabilistic face embeddings. In IEEE/CVF International Conference on Computer Vision (ICCV), pages 6902–6911, 2019. [45] Omer Tov...
StyleGAN XL introduced a new training strategy to be able to handle this better and enhanced the capabilities of StyleGAN3 to be able to generate high-quality images from large and varied datasets, opening up new possibilities for image synthesis. ...
Our final model, StyleGAN-XL, sets a new state-of-the-art on large-scale image synthesis and is the first to generate images at a resolution of 1024^2 1024^2 at such a dataset scale. We demonstrate that this model can invert and edit images beyond the narrow domain of portraits or ...
StyleGAN-XL/T: Diffusion 和 AR 模型的竞争者 在 DDPM 和后续扩散模型相继超过 BigGAN 之后,这两年的图像生成以及 text-to-image 都是 Diffusi…阅读全文 赞同6添加评论 分享收藏喜欢 超炫酷项目来袭!DragGAN 正式开源了! 树先生 计算机技术与软件专业技术资格证持证人 之前树先生...
StyleGAN-XL/T: Diffusion 和 AR 模型的竞争者 在 DDPM 和后续扩散模型相继超过 BigGAN 之后,这两年的图像生成以及 text-to-image 都是 Diffusi… 【每周CV论文推荐】StyleGAN人脸属性编辑有哪些经典论文需要阅读 龙鹏-笔名言有三 北京有三教育科技有限公司 CEO ...
Paper:http://arxiv.org/abs/1912.04958 Video:https://youtu.be/c-NJtV9Jvp0 Abstract:The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes...
(i.e., each individual). Researchers developing such complex systems rely on real biometric data, which raises privacy concerns and is restricted by the availability of extensive, varied datasets. This paper proposes a generative adversarial network (GAN)-based solution to produce training data (...