MichiGAN
Hair generator
A method for generating realistic portraits with editable hair using deep learning techniques and multi-input conditioning.
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing (SIGGRAPH 2020)
294 stars
16 watching
39 forks
Language: Python
last commit: almost 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
kyleolsz/hairgen | A system that generates realistic facial hair in images using neural networks and user input. | 28 |
dukebw/loho | An open source project for generating hairstyles via latent optimization and orthogonalization | 175 |
akanimax/t2f | Generates images of human faces based on textual descriptions using deep learning techniques. | 548 |
ibm/max-fast-neural-style-transfer | A service for generating new images by mixing the content of an input image with the style of another image. | 50 |
carpedm20/began-pytorch | An implementation of a deep learning model for generating images from text descriptions | 262 |
taoxugit/attngan | Reproduces text-to-image generation with attentional generative adversarial networks. | 1,339 |
mrzzm/hdtf | A project providing a dataset and code for generating talking faces with high-resolution audio-visual data | 347 |
tmetsch/pytkgen | A Python module that allows defining GUIs in JSON files and generating Tkinter widgets from them | 120 |
dmitryulyanov/age | This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. | 285 |
dribnet/portrain-gan | A Python implementation of a Generative Adversarial Network (GAN) model used to generate portraits from latent codes. | 40 |
yi-ming-qian/roofgan | A tool for generating realistic roof models using deep learning techniques | 41 |
sudo-ai-3d/zero123plus | A 3D image generation model that takes a single image as input and produces a consistent set of multi-view images from different perspectives. | 1,760 |
duc0/deep-dream-in-pytorch | An implementation of the DeepDream algorithm in PyTorch to generate visually striking images from input images. | 102 |
reedscot/icml2016 | Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN) | 913 |
akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |