FlashVSR-4K: Cloud-Native 4K AI Video Upscaler & Restoration Pipeline

Official Web Application & API: https://videoupscaler.co

FlashVSR-4K is a spatio-temporal AI video super-resolution, motion deblurring, temporal denoising, and 60FPS optical-flow frame interpolation pipeline designed for generative AI video outputs (Sora, Runway Gen-3, Kling, Pika, Wan2.1, LTX-Video) and legacy footage restoration.

Core Capabilities & Live Endpoints

• 4K AI Video Upscaler: Multi-frame optical flow alignment and high-frequency detail synthesis up to 3840x2160 UHD.
• Batch Video Upscaler: Asynchronous cloud queue orchestration for multi-video production workflows.
• AI Video Denoising: Temporal sensor noise and H.264/H.265 compression block artifact removal.
• 60FPS Frame Interpolation: Motion-compensated 24/30FPS to 60FPS frame synthesis with scene-cut awareness.
• AI Video Stabilization: Camera trajectory smoothing and rolling-shutter correction.
• Workflow Integrations (n8n, Make, Zapier, MCP): Connect 4K video enhancement into automated cloud pipelines and AI agents.
• Developer & API Workflow Documentation: Full OpenAPI 3.1 spec, webhook verification, and long-polling reference.

Research & Open-Source Ecosystem

• CERN Zenodo Technical Report (DOI): https://doi.org/10.5281/zenodo.23913038
• Hugging Face Space: https://huggingface.co/spaces/yuxh1996/4k-ai-video-upscaler
• Hugging Face Model Card: https://huggingface.co/yuxh1996/VideoUpscaler-FlashVSR-4K
• Kaggle Benchmark Dataset: https://www.kaggle.com/datasets/arkyu2077/4k-video-upscaling-benchmark
• Python SDK & Colab Tutorial: https://github.com/arkyu2077/ai-video-upscaler
• Go SDK (pkg.go.dev): https://pkg.go.dev/github.com/arkyu2077/videoupscaler-go