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  1. NVlabs/stylegan: StyleGAN - Official TensorFlow Implementation

    • 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 generator from Google Drive and use… See more

    Overview

    StyleGAN — Official TensorFlow Implementation
    Picture: These people are not real – they were produced by our generator that allows control ove… See more

    Github
    Licenses

    All material, excluding the Flickr-Faces-HQ dataset, is made available under Creative Commons BY … 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
    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
    Training networks

    Once the datasets are set up, you can train your own StyleGAN networks as follows:
    1.Edit train.py to specify the dataset and training configuration by uncommenting or editing spe… See more

    Github
    Evaluating quality and disentanglement

    The quality and disentanglement metrics used in our paper can be evaluated using run_metrics.py. By default, the script will evaluate the Fréchet Inception Distance (fid50k) for … See more

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  2. StyleGAN - Official TensorFlow Implementation

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    Primary language: Python
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  3. NVlabs/stylegan3: Official PyTorch implementation of StyleGAN3

     
  4. 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 …

  5. A Gentle Introduction to StyleGAN the Style Generative …

  6. Alias-Free Generative Adversarial Networks (StyleGAN3) - GitHub

  7. StyleGAN: Explained. NVIDIA’s Style-Based …

    WEBApr 26, 2022 · StyleGAN is a state-of-the-art architecture that not only resolved a lot of image generation problems caused by the entanglement of the latent space but also came with a new approach to ...

  8. [1812.04948] A Style-Based Generator Architecture for …

  9. Brief Review — StyleGAN: A Style-Based Generator ... - Medium

  10. [2112.14683] StyleGAN-V: A Continuous Video Generator with …

  11. 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 …

  12. StyleGAN: In depth explaination - Towards AI

  13. StyleGAN 2

  14. Explained: A Style-Based Generator Architecture for GANs

  15. StyleGAN-V: A Continuous Video Generator with the Price, …

  16. StyleGAN-V: A Continuous Video Generator with the Price, …

  17. Understanding StyleGAN2 - Paperspace Blog

  18. Generating your own Images with NVIDIA StyleGAN2-ADA for …

  19. Keras documentation: Face image generation with StyleGAN

  20. How to Train StyleGAN to Generate Realistic Faces

  21. What is StyleGAN? An overview of the key concepts of StyleGAN

  22. Face image generation with StyleGAN

  23. StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image …