IBM/MAX-Image-Resolution-Enhancer

Health v2 · maintenance only

Adoption not part of the score

1040 stars · 161 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An IBM Model Asset Exchange project that deploys an SRGAN-based image super-resolution model as a web service in a Docker container. It upscales pixelated images by a factor of 4 while generating photo-realistic details.

Use cases

• upscale a low-resolution image by 4x
• enhance pixelated photos with realistic details
• run super-resolution as a REST API
• deploy an image enhancement model in Docker
• restore detail in small images for web or print
• compare SRGAN implementations on PSNR and SSIM benchmarks

When to choose

• you need a ready-to-deploy super-resolution web service with a public API
• you want a Docker-packaged SRGAN model trained on OpenImages V4
• you prefer photo-realistic output over strictly highest PSNR scores

When to avoid

• you need real-time or very high-throughput upscaling
• you want a lightweight client-side or CLI-only tool without a server
• you need a model actively developed with recent research improvements

Facets

service · maturity maintenance

image-processing machine-learning http-server llm-inference computer-vision image-processing machine-learning deep-learning python self-hosted super-resolution srgan gan tensorflow image-upscaling model-asset-exchange rest-api docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="IBM/MAX-Image-Resolution-Enhancer")