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
- Upscale blurry compressed video: BasicVSR++ vs cleaning with 78% votes September 9, 2026
- Upscaling game capture to 4K: 32.71 dB vs 32.53 dB ShadowPlay pick September 5, 2026
- BasicVSR++ vs RealBasicVSR: Why BasicVSR++ Collapses on YouTube September 4, 2026
- RealBasicVSR vs Real-ESRGAN: Video Clips vs Stills Guide September 2, 2026
- Topaz Video AI Nyx vs. Wink: Low-Light VMAF Benchmarks September 1, 2026
- Frame Interpolation on Film Grain: Why Benchmarks Mislead August 30, 2026
- Banuba vs ONNX: The 33.3ms Budget and the Real TCO Crossover August 29, 2026
- Proteus vs Nyx vs Real-CUGAN: 480p Anime Upscaling Benchmarks August 27, 2026