cgDDI: Controllable Generation of Diverse Dermatological Imagery - condyloma_acuminatum

This repository contains the textual inversion adaptation weights (<condyloma_acuminatum-class>) for stabilityai/stable-diffusion-2-1-base to generate images of condyloma acuminatum (genital warts).

These weights were developed as part of the cgDDI framework presented in the paper Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification (MICCAI 2026).

Resources

• Paper: Controllable Generation of Diverse Dermatological Imagery for Fair and Efficient Malignancy Classification
• Repository: GitHub - ControllableGenDDI
• Dataset: ControllableGenDDI Dataset

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}
}