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Diffusion-based superresolution

This repository contains an implementation of Denoising Diffusion Implicit Models (DDIM) for the superresolution problem.

4x Superresolution

Dataset: Oxford Flowers 102

  • 80% of all dataset were used for training
  • The remaining 20% were used for testing
  • 64x64 resolution, center cropped
  • 50 diffusion steps were used for testing

Input images img Output images img Target images img

Requirements

  • Keras 3

Acknowledgments

Our code is highly inspired by clear-diffusion-keras.