Solo-Synth-GAN-v1.0 Pre-release

Release Version 1.0 Overview

This release marks the initial version (v1.0) of the "Solo-Synth-GAN" package. Here's an overview of the key features and functionalities included in this release:

Introduction

The "Solo-Synth GAN" project introduces a novel approach to training Generative Adversarial Networks (GANs) on single images. It aims to provide improved techniques for generating high-quality images from a single input image.

Features

Model Training Techniques

• Implements new training techniques for GANs, focusing on training iteratively on different resolutions of the original image.
• Gradually increases resolution as training progresses, augmenting the generator's capacity by adding additional convolutional layers.

Model Architecture

• Built on PyTorch 1.1.0 and Python 3.8.
• Utilizes convolutional neural networks for image generation.
• Provides customization options for adjusting learning rate scaling and the number of trained stages.

Unconditional Image Generation

• Supports unconditional image generation, requiring GPU for training and generation.
• Includes default parameters for training models from the paper.

Customization Options

• Allows users to adjust learning rate scaling and the number of trained stages for model customization.

Conditional Generation (Coming Soon!)

• Future versions will include support for conditional image generation tasks.

Additional Data

• Supplementary materials, including videos, are provided in the Supplementary Material section.

Harmonization and Editing (Coming Soon!)

• Instructions for training models for harmonization and editing tasks will be included in future versions.

Image Animation (Coming Soon!)

• Support for training animation models or generating GIFs from trained models will be provided in future releases.

Acknowledgements

• Provides acknowledgments and references to the paper for further details.

Installation

To install the package, run:

pip install solo-synth-gan==1.0

Usage

Refer to the provided documentation and examples for usage instructions and code snippets.

Feedback and Support

We welcome feedback and suggestions for improvements. Feel free to reach out with any questions or feedback!

Future Plans

• Future releases will include additional features such as conditional image generation, harmonization and editing functionalities, and support for image animation.
• Continuously improving the model architecture and training techniques based on research advancements and user feedback.

Thank you for your interest in "Solo-Synth GAN"! We hope you find this release useful for your image generation tasks.

What's Changed

• Created the repo structure for the GAN by @PrateekJannu in #1

New Contributors

• @PrateekJannu made their first contribution in #1

Full Changelog: https://github.com/PrateekJannu/Solo-Synth-GAN-v1.0/commits/v1.0-alpha