https://github.com/NVlabs/stylegan

StyleGAN - Official TensorFlow Implementation
https://github.com/NVlabs/stylegan

Last synced: 2 months ago
JSON representation

StyleGAN - Official TensorFlow Implementation

• Host: GitHub
• URL: https://github.com/NVlabs/stylegan
• Owner: NVlabs
• License: other
• Created: 2019-02-04T15:33:58.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-04-10T08:30:29.000Z (9 months ago)
• Last Synced: 2024-10-29T14:59:32.439Z (2 months ago)
• Language: Python
• Homepage: https://arxiv.org/abs/1812.04948
• Size: 1.64 MB
• Stars: 14,136
• Watchers: 452
• Forks: 3,178
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• awesome - NVlabs/stylegan - StyleGAN - Official TensorFlow Implementation (Python)
• awesome-github-star - stylegan - Official TensorFlow Implementation | NVlabs | 13699 | (Python)
• awesome-face-related-list - StyleGAN
• awesome-multi-modal - https://github.com/NVlabs/stylegan
• awesome-multi-modal - https://github.com/NVlabs/stylegan
• StarryDivineSky - NVlabs/stylegan - 官方 TensorFlow 实现 (其他_机器视觉 / 网络服务_其他)
• Awesome-DeepFake-Learning - StyleGAN - level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scale-specific control of the synthesis. The new generator improves the state-of-the-art in terms of traditional distribution quality metrics, leads to demonstrably better interpolation properties, and also better disentangles the latent factors of variation. | https://www.youtube.com/watch?v=kSLJriaOumA | [](https://github.com/NVlabs/stylegan) (5. Generation of synthetic content / 5.3 Generation Images)
• awesome-pretrained-stylegan - Source