Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints
Researchers have developed Cranio-Diff, a novel diffusion-based framework for reconstructing faces from 2D X-ray skull images. This method addresses limitations in existing generative models by integrating skull-conditioned structural guidance and biometric text conditioning to ensure semantic and structural alignment between the skull and the generated face. The framework was evaluated on a unique dataset of 120 subjects, generating synthesized faces across different age groups and BMI variations, and demonstrated superior performance in image quality and retrieval tasks compared to existing approaches, suggesting its utility in forensic investigations. AI
IMPACT This research offers a new tool for forensic investigations by improving the accuracy of facial reconstruction from skeletal remains.