Emily Patterson
AI Colorization Specialist at colorizethis.io
Emily Patterson is a PhD candidate in Computer Vision and Image Processing at MIT, focusing on diffusion-based colorization models and the restoration of historical photographs. Her research explores how generative AI can authentically reconstruct color in archival imagery while preserving historical accuracy. Deep experience. Intellectual curiosity.
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Recent articles by Emily Patterson
- Colorize 1940s black white portraits: 4% vs 61.7% grain test September 12, 2026
- Colorize old family photos: 10 lock with 45s vs 8s workflow choice September 9, 2026
- Colorize old black and white portraits: 50-step blind wins for studio light September 6, 2026
- 2026 Diffusion vs Exemplar LAB: 5.9 vs 8.7 Skin CIEDE2000 September 4, 2026
- Canny-Locked Denoising Cuts Bleed 32% in MIT 2026 Test September 3, 2026
- Diffusion vs. GAN Colorization: Why PSNR Fails and What to Test September 1, 2026
- Bedrock AgentCore Cross-Account Memory: The 3-Step Handshake August 31, 2026
- Kodachrome's Three Dye Layers: Why LAB Clamping Wins for Archives August 29, 2026