Stars
Code for the paper "Jukebox: A Generative Model for Music"
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.
Pytorch implementation of BigGAN Generator with pretrained weights
"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
2D Map Generator - Generative Adversarial Network
DOOM level generation using Generative Adversarial Networks
Discovering Interpretable GAN Controls [NeurIPS 2020]
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
PyTorch code for Expressive 2019 ``Learning from Multi-domain Artistic Images for Arbitrary Style Transfer''
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
A list of resources and introductory notebooks for Web Scraping in Python using BeautifulSoup.
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big …
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
A Google Colab notebook to convert your low-resolution StyleGAN models into higher-resolution checkpoints so you can continue training!
Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!
On the "steerability" of generative adversarial networks
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
parthsuresh / stylegan2-colab
Forked from NVlabs/stylegan2StyleGAN2 - Colab Notebook containing code for training + visualization + projection