Ella Sullivan
AI Portraits Photographer at kahma.io
Ella Sullivan is a PhD candidate in Computer Vision at Stanford University, where her research focuses on generative models for photorealistic portrait synthesis and automated compliance verification for identity documents. She investigates how deep learning can assess biometric and regulatory standards in passport and visa photos, bridging the gap between algorithmic generation and real-world acceptance. Deep experience. Intellectual curiosity.
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Recent articles by Ella Sullivan
- AI Caricature ID Photos: 70–80% Face Height or Redraw in 2026 November 8, 2026
- ICAO 9303 face and eye-line bands: checking AI passport photos November 4, 2026
- PhD to Data Science: 2026 Guide - 3 Resume Steps to Land Interviews November 1, 2026
- FABRIK vs CCD for 4-joint IK under strict limits: a verify-before-you-commit guide October 29, 2026
- Passport photo rejections: ICAO 9303 (International Civil Aviation Organization) 2026 — 64% fail vs pose fixes October 26, 2026
- Topaz Photo AI vs Adobe Super Resolution for Headshots 2026: 2× Upscaling vs Face Recovery October 23, 2026
- NTK regime check: one CKA drift test before portrait fine-tuning October 20, 2026
- Passport photo compliance: how to benchmark face-landmark verifiers October 17, 2026