sanghyun-son/EDSR-PyTorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2627 stars · 682 forks observed · 2026-08-28

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

Official PyTorch implementation of EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution, CVPRW 2017). It provides training and evaluation scripts plus pre-trained models for upscaling images at multiple scales.

Use cases

• upscale low-resolution images with a deep learning model
• train a super-resolution network from scratch
• reproduce EDSR paper results
• apply a pretrained super-resolution model to my photos
• benchmark image super-resolution models

When to choose

• you need a well-cited, reference implementation of EDSR for research
• you want pretrained models for 2x/3x/4x image upscaling
• you want to train or fine-tune a super-resolution model in PyTorch

When to avoid

• you need MDSR support on recent PyTorch versions (temporarily disabled on master)
• you want a production-ready image upscaling service with an API
• you need the latest state-of-the-art super-resolution architectures

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning python windows super-resolution pytorch edsr image-upscaling computer-vision-research pretrained-models linux macos

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markdown · JSON · MCP: product_card(name="sanghyun-son/EDSR-PyTorch")