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This repository contains PyTorch implementations of two colorization models: ECCV16 and SIGGRAPH17. These models can be used to automatically add color to grayscale images.

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ChromaColor

Colorization Models

This repository contains PyTorch implementations of two colorization models: ECCV16 and SIGGRAPH17. These models can be used to automatically add color to grayscale images.

Models

  • ECCV16: This model is based on the ECCV 2016 paper and provides colorization using a deep neural network architecture.

  • SIGGRAPH17: This model is based on the SIGGRAPH 2017 paper and offers an alternative approach to colorization.

Getting Started

Dependencies

  • Python 3
  • PyTorch
  • NumPy
  • Pillow
  • scikit-image

Usage

  1. Load an input grayscale image.
  2. Use one of the provided colorization models to generate a colorized version of the image.
  3. Displays the original grayscale image, the input image, and the colorized output image.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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This repository contains PyTorch implementations of two colorization models: ECCV16 and SIGGRAPH17. These models can be used to automatically add color to grayscale images.

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