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Diffusion-TF

This repository provides a collection of TensorFlow 2 implementations/ ports for diffusion-based research.

The projects are self-contained and can be found here. All models are instances of tf.keras.Model, hence multi-gpu training can be enabled with minor adjustments thanks to tf.distribute.Strategy.

Under active development.

Updates

01/07/2024

  1. Initial release of this project.
  2. Released Iterative α-(de)Blending: a Minimalist Deterministic Diffusion Model by Heitz et al., in Special Interest Group on Graphics and Interactive Techniques (Siggraph), 2023.
  3. Released Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration by Delbracio & Milanfar, in Transactions on Machine Learning Research (TMLR), 2023.

License

Apache License 2.0