Skip to content

Latest commit

 

History

History
46 lines (29 loc) · 1.6 KB

README.md

File metadata and controls

46 lines (29 loc) · 1.6 KB

GAN Clothes Generator

Overview

Welcome to the GAN Clothes Generator project! This project aims to generate high-quality images of clothes using Generative Adversarial Networks (GANs). By training a GAN on a dataset of clothing images, we can create realistic and diverse new clothing designs.

Table of Contents

Introduction

This project leverages the power of GANs to generate novel images of clothes. The main components include a generator that creates new images and a discriminator that evaluates their realism. By iterating through training, the generator improves its ability to produce realistic clothing images.

Features

  • High-Quality Image Generation: Generates realistic and diverse clothing images.
  • Customizable Training: Easily modify training parameters and architecture.
  • Pre-trained Models: Includes pre-trained models for quick setup.

Model Architecture

  • The model has a combination of wide and narrow network, making it efficient on sub-structures of the features and on overall image.

Dataset

  • The model is trained to generate images similar to FashionMNIST data. It generates grayscale images of 28 x 28 size.

Installation

Clone the repository and install the required dependencies.

git clone https://github.com/yourusername/gan-clothes-generator.git
cd gan-clothes-generator
pip install -r requirements.txt