About Face Warp Check
Bridging computer vision forensics and plastic surgery clinical integrity.
1. The Clinical Motivation
In modern aesthetic surgery, patient consultations increasingly begin with digital photographs found on social platforms, review sites, and online galleries. When clinical "before-and-after" photographs or patient expectation benchmarks are subtly altered using warping apps, several serious issues arise:
- Distorted Anatomical Expectations: Patients may request aesthetic outcomes that violate fundamental surgical mechanics or tissue elasticity limits.
- Ethical Marketplace Asymmetry: Ethical surgeons adhering to strict standardized photography protocols are disadvantaged against altered portfolio imagery.
- Scientific Integrity: Medical journals require rigorous verification that case reports and clinical outcomes represent genuine biological healing rather than digital retouching.
2. Academic Foundations
Primary Model Architecture:
Wang, S. Y., Wang, O., Owens, A., Zhang, R., & Efros, A. A. (2019). Detecting Photoshopped Faces by Scripting Photoshop. In IEEE International Conference on Computer Vision (ICCV), 2019.
Weights reference: PeterWang512/FALdetector
Clinical Plastic Surgery Application:
Olabiran, O., Rohrich, R. J., & Kim, R. (2026). Quantifying Digital Manipulation in Online Aesthetic Rhinoplasty Portfolios Using Facial Authenticity Localization. Plastic and Reconstructive Surgery (PRS).
Key finding: Approximately 19.5% of sampled online aesthetic rhinoplasty imagery exhibited detectable geometric manipulation signatures.
3. Purpose & Governance
Face Warp Check is provided as an open educational and research utility. Its goal is not to police individuals, but to provide an objective, reproducible reference point for surgeons, researchers, patients, and aesthetic professionals seeking to maintain truth in imaging.