StyleGAN

Picture: These people are not real – they were produced by our generator that allows control over different aspects of the image. Path Description : : StyleGAN Main folder. ├  stylegan-paper.pdf High-quality version of the paper PDF. ├  stylegan-video.mp4 High-quality version of the result video. ├  images Example images produced using our generator. │  ├  representative-images High-quality images to be used in articles, blog posts, etc. │  └  100k-generated-images 100,000 generated images for different amounts of truncation. │     ├  ffhq-1024x1024 Generated using Flickr-Faces-HQ dataset at 1024×1024. │     ├  bedrooms-256x256 Generated using LSUN Bedroom dataset at 256×256. │     ├  cars-512x384 Generated using LSUN Car dataset at 512×384. │     └  cats-256x256 Generated using LSUN Cat dataset at 256×256. ├  videos Example videos produced using our generator. │  └  high-quality-video-clips Individual segments of the result video as high-quality MP4. ├  ffhq-dataset Raw data for the Flickr-Faces-HQ dataset. └  networks Pre-trained networks as pickled instances of dnnlib.tflib.Network.    ├  stylegan-ffhq-1024x1024.pkl StyleGAN trained with Flickr-Faces-HQ dataset at 1024×1024.    ├  stylegan-celebahq-1024x1024.pkl StyleGAN trained with CelebA-HQ dataset at 1024×1024.    ├  stylegan-bedrooms-256x256.pkl StyleGAN trained with LSUN Bedroom dataset at 256×256.    ├  stylegan-cars-512x384.pkl StyleGAN trained with LSUN Car dataset at 512×384.    ├  stylegan-cats-256x256.pkl StyleGAN trained with LSUN Cat dataset at 256×256.    └  metrics Auxiliary networks for the quality and disentanglement metrics.       ├  inception v3 features.pkl Standard Inception-v3 classifier that outputs a raw feature vector.       ├  vgg16 zhang perceptual.pkl Standard LPIPS metric to estimate perceptual similarity.       ├  celebahq-classifier-00-male.pkl Binary classifier trained to detect a single attribute of CelebA-HQ.       └ & x22ef; Please see the file listing for remaining networks. 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 material for non-commercial purposes , as long as you give appropriate credit by citing our paper and indicating any changes that you've made. For license information regarding the FFHQ dataset, please refer to the Flickr-Faces-HQ repository. inception v3 features.pkl and inception v3 softmax.pkl are derived from the pre-trained Inception-v3 network by Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna. The network was originally shared under Apache 2.0 license on the TensorFlow Models repository. vgg16.pkl and vgg16 zhang perceptual.pkl are derived from the pre-trained VGG-16 network by Karen Simonyan and Andrew Zisserman. The network was originally shared under Creative Commons BY 4.0 license on the Very Deep Convolutional Networks for Large-Scale Visual Recognition project page. vgg16 zhang perceptual.pkl is further derived from the pre-trained LPIPS weights by Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang. The weights were originally shared under BSD 2-Clause "Simplified" License on the PerceptualSimilarity repository. Both Linux and Windows are supported, but we strongly recommend Linux for performance and compatibility reasons. 64-bit Python 3.6 installation. We