Marcus Vance
AI Video Upscaling Specialist at ai-videoupscale.com
Marcus Vance is a PhD candidate in Computer Vision at Stanford University. His research focuses on temporally consistent video super-resolution and frame interpolation, with an emphasis on real-world degradation models. He also explores generative methods for video restoration. Deep experience. Intellectual curiosity.
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Recent articles by Marcus Vance
- AI video upscaling latency: 33ms budget vs 60fps broadcast — real-time or interpolate? November 8, 2026
- 4x Full HD upscaling: benchmark the PSNR-vs-flicker tradeoff yourself November 5, 2026
- AI loudness normalization: LUFS changes across platforms vs EBU R128 compliance November 2, 2026
- Verify temporal consistency in video super-resolution before committing October 30, 2026
- Drone Time-Lapse Upscaling: 3-Step Temporal vs Single-Pass 4x October 27, 2026
- Video Flicker Fix: 2026 Temporal Consistency Guide with 3 Metrics October 24, 2026
- Video Upscaling Consistency: Optical Flow Error, Flicker, Quality—3 Metrics for 2026 October 21, 2026
- Facebook video upload quality 2026: 1080p vs 4K retention (VMAF) October 18, 2026