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  1. Github
    https://github.com/NVlabs/stylegan

    NVlabs/stylegan: StyleGAN - Official TensorFlow Implementation

    • StyleGAN — Official TensorFlow Implementation. Picture: These people are not real – they were produced by our generator that allows control over different aspects of the image. This repository contains th… See more

    Overview

    StyleGAN — Official TensorFlow Implementation
    Picture: These people … See more

    Github
    Licenses

    All material, excluding the Flickr-Faces-HQ dataset, is made available under Creative Commons BY-NC 4.0 license by NVIDIA Corporation. You can use, redistribute, and adapt the … See more

    Github
    System requirements

    •Both Linux and Windows are supported, but we strongly recommend Linux for performance and compatibility reasons.
    •64-bit Python 3.6 installation. We recommen… See more

    Github
    Using pre-trained networks

    A minimal example of using a pre-trained StyleGAN generator is given in pretrained_example.py. When executed, the script downloads a pre-trained StyleGAN … See more

    Github
    Preparing datasets for training

    The training and evaluation scripts operate on datasets stored as multi-resolution TFRecords. Each dataset is represented by a directory containing the same image data in several r… See more

    Github
    Feedback
    Content
    Overview
    Licenses
    System requirements
    Using pre-trained networks
    Preparing datasets for training
    Is StyleGAN a data-driven unconditional Generative Image Model?
     

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  2. Github
    https://github.com/NVlabs/stylegan2

    NVlabs/stylegan2: StyleGAN2 - Official TensorFlow …

    WEBAbstract: 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 …

     
  4. Keras
    https://keras.io/examples/generative/stylegan

    Keras documentation: Face image generation with StyleGAN

  5. Machine Learning Mastery
    https://machinelearningmastery.com/introduction-to...

    A Gentle Introduction to StyleGAN the Style Generative …

  6. nvlabs.github.io
    https://nvlabs.github.io/stylegan2/versions.html

    StyleGAN versions - GitHub

  7. Medium
    https://medium.com/analytics-vidhya/understanding...

    Understanding the StyleGAN and StyleGAN2 Architecture

  8. People also ask
    Is StyleGAN based on TensorFlow?
    StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, [ 4] or Meta AI 's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN versions. [ 5] The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020.

    StyleGAN - Wikipedia

    en.wikipedia.org
    What is StyleGAN based on?
    Description: Implementation of StyleGAN for image generation. View in Colab • GitHub source The key idea of StyleGAN is to progressively increase the resolution of the generated images and to incorporate style features in the generative process.This StyleGAN implementation is based on the book Hands-on Image Generation with TensorFlow .

    Keras documentation: Face image generation with StyleGAN

    keras.io
    Is StyleGAN a data-driven unconditional Generative Image Model?
    Cannot retrieve latest commit at this time. 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 in both model architecture and training methods to address them.

    NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation - GitHub

    github.com
    What is a high quality generated face using StyleGAN?
    Example of High-Quality Generated Faces Using the StyleGAN. Taken from: A Style-Based Generator Architecture for Generative Adversarial Networks. The use of different style vectors at different points of the synthesis network gives control over the styles of the resulting image at different levels of detail.

    A Gentle Introduction to StyleGAN the Style Generative Adversarial

    machinelearningmastery.com
    What is a StyleGAN image?
    An image generated using StyleGAN that looks like a portrait of a young woman. This image was generated by an artificial neural network based on an analysis of a large number of photographs. StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [ 1] and made source available in February 2019. [ 2][ 3]

    StyleGAN - Wikipedia

    en.wikipedia.org
    Does StyleGAN improve image quality?
    “Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality,” the researchers stated in their paper, Analyzing and Improving the Image Quality of StyleGAN .

    Synthesizing High-Resolution Images with StyleGAN2

    developer.nvidia.com
    Feedback
  9. Wikipedia
    https://en.wikipedia.org/wiki/StyleGAN

    StyleGAN - Wikipedia

    WEBStyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [1] and made source available in February 2019. [2] [3] StyleGAN depends on Nvidia's CUDA software, GPUs, and …

  10. Lambda
    https://lambdalabs.com/blog/stylegan-3

    StyleGAN 3 - Lambda Labs

  11. nvlabs.github.io
    https://nvlabs.github.io/stylegan3

    Alias-Free Generative Adversarial Networks (StyleGAN3) - GitHub

  12. Github
    https://github.com/NVlabs/stylegan2-ada

    StyleGAN2 with adaptive discriminator augmentation …

    WEBThis repository supersedes the original StyleGAN2 with the following new features: ADA: Significantly better results for datasets with less than ~30k training images. State-of-the-art results for CIFAR-10. Mixed-precision …

  13. Towards Data Science
    https://towardsdatascience.com/how-to-train...

    How to Train StyleGAN2-ADA with Custom Dataset

  14. NVIDIA Developer
    https://developer.nvidia.com/blog/synthesizing...

    Synthesizing High-Resolution Images with StyleGAN2

  15. Google Colab
    https://colab.research.google.com/.../stylegan.ipynb

    Face image generation with StyleGAN

  16. Towards Data Science
    https://towardsdatascience.com/how-to-train...

    How to Train StyleGAN to Generate Realistic Faces

  17. Towards Data Science
    https://towardsdatascience.com/explained-a-style...

    Explained: A Style-Based Generator Architecture for GANs

  18. Medium
    https://medium.com/geekculture/train-stylegan2-ada...

    Train StyleGAN2-ADA with Custom Datasets in Colab

  19. Github
    https://github.com/manicman1999/StyleGAN2-Tensorflow-2.0

    manicman1999/StyleGAN2-Tensorflow-2.0 - GitHub

  20. Github
    https://github.com/taki0112/StyleGAN-Tensorflow

    GitHub - taki0112/StyleGAN-Tensorflow: Simple & Intuitive …

  21. Github
    https://github.com/NVlabs/stylegan3

    NVlabs/stylegan3: Official PyTorch implementation of StyleGAN3

  22. Towards Data Science
    https://towardsdatascience.com/generating-your-own...

    Generating your own Images with NVIDIA StyleGAN2-ADA for …

  23. Github
    https://github.com/ialhashim/StyleGAN-Tensorflow2

    GitHub - ialhashim/StyleGAN-Tensorflow2: StyleGAN

  24. Github
    https://github.com/huangzh13/StyleGAN.pytorch

    GitHub - huangzh13/StyleGAN.pytorch: A PyTorch …

  25. Github
    https://github.com/moono/stylegan2-tf-2.x

    moono/stylegan2-tf-2.x: stylegan2, tensorflow 2, keras …