BigGAN-PyTorch
pytorch-pretrained-BigGAN
BigGAN-PyTorch | pytorch-pretrained-BigGAN | |
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4 | 2 | |
2,802 | 1,009 | |
- | 0.5% | |
0.0 | 0.0 | |
10 months ago | about 3 years ago | |
Python | Python | |
MIT License | MIT License |
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BigGAN-PyTorch
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[D] Pre-trained weights for GANs online?
The second link gives you the entire source code for training the model https://github.com/ajbrock/BigGAN-PyTorch/tree/master . Looks like BigGAN.py and BigGANdeep.py are the two files that define the architecture. Can you work with that?
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I'm looking for an AI Art generator from images
BigGAN (https://github.com/ajbrock/BigGAN-PyTorch) - This is a PyTorch implementation of the BigGAN model for generating high-resolution images. It is trained on a large dataset and can generate a wide range of images, including photographs of animals, objects, and landscapes.
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[D] Using activity regularization instead of batch norm.
Tangentially, theoretically you can't use BN in the discriminator for WGAN-GP anyway (assuming that you're using the Gulrajani work) because it breaks the sample independence assumptions of the GP. If you have a relatively structured dataset (eg all faces, all cars, all giraffes, etc.) and no class conditioning, look into StyleGAN2-ADA for the best results. If you have a dataset with a lot of variation and a lot of classes try using the BigGAN repo.
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Έφτιαξα ένα AI που παράγει εικόνες από μερικές λέξεις. Να τι έφτιαξε όταν του είπα να σκεφτεί ένα "Αφηρημένο Πορτρέτο"
BigGan και Deep Dream https://github.com/ajbrock/BigGAN-PyTorch https://github.com/google/deepdream
pytorch-pretrained-BigGAN
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[D] Pre-trained weights for GANs online?
To my surprise, there don't seem to be many GAN weights available for download. Worse yet, many that are available (e.g., https://github.com/huggingface/pytorch-pretrained-BigGAN ) only come with pre-trained generator weights, not discriminator weights. But I need both.
- GAN based images
What are some alternatives?
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation
HyperGAN - Composable GAN framework with api and user interface
PyTorch-StudioGAN - StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-forecasting - Time series forecasting with PyTorch
Anime2Sketch - A sketch extractor for anime/illustration.
code-generator - Web Application to generate your training scripts with PyTorch Ignite
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).