cgDDI: neurofibroma

This repository contains the textual inversion adaptation weights (using the concept <neurofibroma-class>) for stabilityai/stable-diffusion-2-1-base to generate diverse dermatological imagery of neurofibroma.

It is part of the cgDDI framework introduced in the paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification.

• Repository: GitHub - ControllableGenDDI
• Dataset: hcarrion/ControllableGenDDI

Citation

@inproceedings{carrion2026cgddi,
  title     = {Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification},
  author    = {Carri{\'o}n, H{\'e}ctor and Norouzi, Narges},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year      = {2026},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science}
}