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pytorch-CycleGAN-and-pix2pix

24,457
6,507
Python

Project Description

Image-to-Image Translation in PyTorch

pytorch-CycleGAN-and-pix2pix: Image-to-Image Translation in PyTorch

Project Title

pytorch-CycleGAN-and-pix2pix — Advanced Image-to-Image Translation in PyTorch

Overview

The pytorch-CycleGAN-and-pix2pix project provides a comprehensive PyTorch implementation for both unpaired and paired image-to-image translation. It offers state-of-the-art results comparable to or better than the original Torch software, with added support for Python 3.11 and PyTorch 2.4, including DDP for single-machine multiple-GPU training.

Key Features

  • Supports both CycleGAN and pix2pix models for image translation
  • Updated to work with Python 3.11 and PyTorch 2.4
  • Supports DDP for single-machine multiple-GPU training
  • Includes templates for custom models and datasets
  • Provides an overview of the code structure for better understanding and adaptation

Use Cases

  • Researchers and developers working on image-to-image translation tasks
  • Applications in computer vision, such as style transfer, image editing, and data augmentation
  • Educational purposes for understanding and implementing deep learning models for image translation

Advantages

  • Produces results comparable to or better than the original Torch software
  • Offers a more recent and updated codebase for PyTorch users
  • Includes support for advanced training techniques like DDP for efficient GPU utilization

Limitations / Considerations

  • The project may require significant computational resources for training, especially with multiple GPUs
  • Users need to be familiar with PyTorch and deep learning concepts to effectively use and customize the code
  • The project's license is unknown, which may affect its use in commercial applications

Similar / Related Projects

  • img2img-turbo: A repo that includes both pix2pix-turbo and CycleGAN-Turbo, leveraging pre-trained StableDiffusion-Turbo model for faster and better results.
  • contrastive-unpaired-translation (CUT): A new unpaired image-to-image translation model that enables fast and memory-efficient training.
  • pix2pix-tensorflow: A TensorFlow implementation of pix2pix for image-to-image translation.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation


This article is automatically generated by AI based on GitHub project information and README content analysis

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Project Information

Created on 4/18/2017
Updated on 9/8/2025