A project on generating faces using Deep Convolutional Generative Adversarial Networks which is trained on celebrity faces
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Updated
Oct 30, 2020 - Jupyter Notebook
A project on generating faces using Deep Convolutional Generative Adversarial Networks which is trained on celebrity faces
Training a DCGAN to generate new images of faces that look realistic as possible.
Generating Faces using DCGANs as a part of Udacity's Deep learning Nanodegree
Deep Convolutional GAN trained to generate anime faces.
Simple DCGAN in python for image generation. Proof-of-concept.
Repository for projects developed in Udacity's Deep Learning Nanodegree.
This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.
PyTorch implementations of simple GANs for lightweight generative modeling of input distributions.
PyTorch Implementation of Deep Convolutional Generative Adversarial Networks (DCGAN)
In this project, we will use DCGAN (Deep Convolutional Generative Adversarial Network) and train it on the CryptoPunks dataset to generate new punks.
Implementation of DCGAN in Pytorch for generating colour images of 64 x 64 resolution.
My solution to the Udacity project of creating a DCGAN to create new face images based on the CelebA image database
Using DCGANs to generate anime faces.
Face generation with deep convolutional generative adversarial network using PyTorch and Jupyter Notebook.
DCGAN Pytorch Implementation
In This Repo I've Built DC-GAN as a part of Gan Series I'm Building
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