#215 · Primary category： Computer Vision
MAX-Image-Resolution-Enhancer
Upscale an image by a factor of 4, while generating photo-realistic details.
Project last updated：09/17/25
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1.0K
Forks
161
Contributors
11
License
Apache-2.0
Why we included this project
This IBM MAX project wraps an SRGAN model that takes a pixelated image and upscales it 4x, generating plausible detail rather than just blurring or smoothing the pixels. It ships as a Docker container with pre-trained weights and a REST API, so you can deploy it as a microservice and call it from your own code without touching the training pipeline. Because it comes from the IBM Model Asset Exchange, there are clear deployment instructions for Docker, Kubernetes, and OpenShift, which saves you the usual plumbing work. The model was trained on 600,000 images from OpenImages V4, and the repo includes benchmarks that show the generator favors visually crisp output over raw PSNR/SSIM scores, so it's worth testing on your own images rather than trusting the numbers.
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