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
- 2026 Temporal VSR: Fix Degradation Coupling & Warping Tactics August 18, 2026
- August 16, 2026
- Recurrent Flow-Guided Transformer for Real-World Video SR August 15, 2026
- How to Boost Explainer Video Engagement by Upscaling to 4K August 13, 2026
- LPIPS-First Training Wins for Low-Light 4x Video Super-Resolution August 12, 2026
- Temporal Consistency Loss: 4K Flicker Reduced 30% (LPIPS/VMAF) August 10, 2026
- 3 dB PSNR Gain: The Real Story Behind Temporal Consistency August 10, 2026
- High-Resolution VFX Workflows for Modern Film Production August 9, 2026