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pix2pixHD

6,936
1,413
Python

Project Description

Synthesizing and manipulating 2048x1024 images with conditional GANs

pix2pixHD: Synthesizing and manipulating 2048x1024 images with conditional GANs

Project Title

pix2pixHD — High-Resolution Image-to-Image Translation with Conditional GANs

Overview

pix2pixHD is a PyTorch implementation for high-resolution (2048x1024) photorealistic image-to-image translation. It leverages conditional GANs to turn semantic label maps into photo-realistic images or synthesize portraits from face label maps. This project stands out for its ability to handle high-resolution images and its applications in image synthesis and manipulation.

Key Features

  • High-resolution image synthesis (up to 2048x1024)
  • Conditional GANs for image-to-image translation
  • Interactive editing capabilities
  • Pre-trained models and scripts for quick testing and training

Use Cases

  • Converting semantic label maps into realistic images for applications in urban planning and design.
  • Synthesizing high-quality portraits from face label maps for use in digital entertainment and social media.
  • Manipulating images for artistic purposes or to create variations of a base image.

Advantages

  • Achieves high-resolution output, suitable for professional use.
  • Utilizes state-of-the-art GAN technology for realistic image generation.
  • Provides an interactive interface for image editing, enhancing user control over the translation process.

Limitations / Considerations

  • Requires a powerful NVIDIA GPU with at least 11G memory and CUDA cuDNN for optimal performance.
  • The project is dependent on PyTorch and specific Python libraries, which may require additional setup for some users.
  • The high-resolution nature of the output may lead to longer processing times compared to lower-resolution alternatives.

Similar / Related Projects

  • CycleGAN: A related project that uses cycle-consistent adversarial networks for image-to-image translation without paired data. It differs in its approach to handling unpaired data sets.
  • StarGAN: A project that performs multi-domain image-to-image translation, allowing for the translation between multiple different image domains. It differs in its ability to translate between various domains rather than a specific pair.
  • pix2pix: An earlier version of the image-to-image translation model that pix2pixHD builds upon, with lower resolution capabilities. It differs in its output resolution and the specific applications it targets.

Basic Information

📊 Project Information

  • Project Name: pix2pixHD
  • GitHub URL: https://github.com/NVIDIA/pix2pixHD
  • Programming Language: Python
  • ⭐ Stars: 6,885
  • 🍴 Forks: 1,414
  • 📅 Created: 2017-12-01
  • 🔄 Last Updated: 2025-11-17

🏷️ Project Topics

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🔗 Related Resource Links

🌐 Related Websites

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

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Project Information

Created on 12/1/2017
Updated on 12/31/2025