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
- 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
- 4-Point FID Drop: 4 Colorizers Tested on 4,812 Tomato Scans August 28, 2026
- Stabilize Archival Video With ControlNet Reference Cuts August 26, 2026
- 5 Free B&W Conversion Tools Tested: Why Darktable Wins August 25, 2026
- sRGB's 35.9% Gamut Ceiling: The Export Pipeline That Wins August 23, 2026