StarGAN - tensorflow implementation
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Updated
Mar 22, 2018 - Python
StarGAN - tensorflow implementation
Uses generative adversarial networks to create images of faces
Implementation of DCGAN in Tensorflow and Torch7
face generating DCGAN implemented by Keras
Simple deepfake pet-project
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Face Generation using Generative Adversarial Networks
Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.
Generative Adversarial Network (GAN) that generates face images.
Implementation of Perceptual Generative Autoencoders in PyTorch
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
This is the accompanying code for the Medium article: https://medium.com/@karol_majek/high-resolution-face2face-with-pix2pix-1024x1024-37b90c1ca7e8
A face recognition solution on mobile device.
[CVPR2020] Adversarial Latent Autoencoders
This repository contains the main code for portrait synthesis from speech experiments associated with Retratista application. Refer to the application repository at https://github.com/DarkGeekMS/Retratista
A demo project that manipulate face attributes using pretrained AttGAN model
A project for spouse prediction. Use deep learning and computer vision techniques to generate the appearance of a spouse.
Identify Human Face from Bare Description
Face generation with DCGAN and SNGAN on CelebA dataset
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