Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

https://aws.amazon.com/blogs/machine-learning/implementing-super-resolution-by-deploying-seedvr2-on-amazon-sagemaker-ai/

Publish Date: 2026-06-25 12:40:00

Source Domain: aws.amazon.com

  • Video Upscaling Challenge: Many organizations face challenges in scaling their lower-resolution video libraries to modern high-definition displays due to pixelation and blurriness.
  • SeedVR2 Introduction: SeedVR2, developed by ByteDance, is an open-source video restoration model that upscales and enhances video quality using AI techniques, running on Amazon SageMaker for scalable solutions.
  • AWS Solution Architecture: The solution employs a three-tier AWS architecture encompassing Amazon VPC, S3 buckets for storage, and AWS Lambda triggering SageMaker processing jobs for video enhancement.
  • Deployment and Testing: The process includes environment setup, infrastructure deployment via AWS CDK, running the model on GPU-enabled SageMaker instances, and testing the pipeline for video upscaling with input/output verification.