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
- Facebook video upload quality 2026: 1080p vs 4K retention (VMAF) October 18, 2026
- Upscaling Puzzle Pirates 800x600 to 4K: Temporal Consistency Stops 2026 Flicker October 15, 2026
- How Weta Digital Upscaled X-Men: First Class to 4K: 2-Frame Temporal Window vs 5 October 12, 2026
- Web Game Monetization: 2026 eCPM Benchmarks — Raise Floor or Not October 9, 2026
- Stop video flicker in 8K: 2026 RIFE v3.0 vs FILM at 42dB Peak Signal-to-Noise (PSNR-HVS-M) October 6, 2026
- Upscale video to 4K: Basic Video Super-Resolution++ propagation vs. per-frame at 2× October 3, 2026
- Upscale blurry video clips: Tracked Mask 4x vs Full Frame for talking heads September 30, 2026
- Video Upscaler Test Results: 300 Clips, One Phone Winner September 27, 2026