Implementation of DCGAN in Tensorflow and Torch7

The aim of this work is to generate new face images similar to training ones (the CelebA dataset) according to user specified attributes. To do that we ended up with an implementation of a Versatile Auxiliary Classifier + GAN.

Generate new images of faces using Deep Convolutional Generative Adversarial Networks (DCGANs)

Face generator

A Deep Convolutional Generative Adversarial Neural Networks to generate new images of faces

GAN that can generate face images.

Using DCGAN architecture to generate faces from CelebA dataset containing faces of some celebrities, made in PyTorch. Do 🌟 the repo if you find it useful.

Contains my experiments with GANs.

Use a DCGAN on the CelebA dataset to generate images of new and realistic human faces

Uses generative adversarial networks to create images of faces

A DCGAN is trained on a dataset of faces. A generator network generates new images of faces that look very realistic.

This project is one of the projects required for Deep Learning Nanodegree

Face Generation - Udacity project for deep learning Nanodegree

AI

Generative Adversarial Network (GAN) that generates face images.

A command-line python application to generate customizable human faces using an external API.

Project for the module Generative Adversarial Networks for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Face Generator with Diffusion Models and Pytorch

Face generation with deep convolutional generative adversarial network using PyTorch and Jupyter Notebook.

A project for spouse prediction. Use deep learning and computer vision techniques to generate the appearance of a spouse.