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normalising-flows

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A deep learning project for Fundus Autofluorescence (FAF) image generation, inversion and editing using Scalable Interpolant Transformers (SiT). This repository enables conditional generation of synthetic FAF images based on genetic mutations, patient age, and eye laterality, with support for real-to-latent inversion and semantic image editing.

  • Updated Jan 18, 2026
  • Python

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