# ChaofWang/Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

Repository: https://github.com/ChaofWang/Awesome-Super-Resolution
Canonical: https://ross.abutalabs.com/products/awesome-super-resolution
License Family: other
Last push: 2026-08-19T07:17:44+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2692, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3095, forks 369 (observed 2026-08-28T04:07:43.342814+00:00)

## What it is
A curated awesome-list collecting super-resolution papers, datasets, and code repositories, organized by year and approach (deep learning vs. non-DL). It serves as a research reference index rather than executable software.

## Use cases
- find super-resolution papers by year
- find image upscaling datasets
- research deep learning image restoration
- find code implementations of super-resolution models
- survey video super-resolution methods

## When to choose
- you need a curated index of super-resolution research and code
- you are surveying image restoration literature
- you want datasets for training upscaling models

## When to avoid
- you need runnable super-resolution software itself
- you need a maintained library with an API

## Facets
- artifact type: learning-resource
- maturity: active
- function: image-processing, machine-learning, documentation
- domain: computer-vision, image-processing, deep-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, super-resolution, paper-collection, research, datasets

## Member repositories
- ChaofWang/Awesome-Super-Resolution (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:43.342814+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:27:17.550976+00:00, confidence not recorded.
  - readme: https://github.com/ChaofWang/Awesome-Super-Resolution (fetched 2026-08-28T04:07:43.342814+00:00, sha 0182416a9aa1)
- Data as of 2026-08-30T08:39:29.467469+00:00.