# ChanChiChoi/awesome-Face_Recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

Repository: https://github.com/ChanChiChoi/awesome-Face_Recognition
Canonical: https://ross.abutalabs.com/products/awesome-face_recognition
License Family: other
Topics: face-detection, face-alignment, face-recognition, face-reconstruction, face-tracking, face-superresolution, face-generation, face-transfer, face-retrieval
Last push: 2023-02-09T07:02:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2854, "days_push": 1301, "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 4754, forks 974 (observed 2026-08-28T04:08:58.752631+00:00)

## What it is
A curated awesome-list collecting research papers (mainly from arXiv) on face-related computer vision topics such as detection, alignment, recognition, reconstruction, tracking, generation, and anti-spoofing. It also aggregates links to datasets and other face paper collections.

## Use cases
- find papers on face recognition
- research face detection methods
- survey face anti-spoofing literature
- find datasets for face recognition
- learn about face generation and synthesis papers
- catch up on face tracking research
- find papers on face super-resolution

## When to choose
- starting research on any face-related computer vision topic
- looking for a broad curated paper index with datasets
- surveying the state of the art in face recognition

## When to avoid
- you need runnable code or a library rather than paper links
- you need production face recognition software
- you need guaranteed up-to-date coverage, as updates have slowed

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, machine-learning, deep-learning
- domain: computer-vision, artificial-intelligence, deep-learning, awesome-lists
- platform: cross-platform
- tags: awesome-list, face-recognition, face-detection, face-alignment, face-generation, anti-spoofing, papers, arxiv, research

## Member repositories
- ChanChiChoi/awesome-Face_Recognition (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:58.752631+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 2026-08-29T18:18:54.162595+00:00, confidence not recorded.
  - readme: https://github.com/ChanChiChoi/awesome-Face_Recognition (fetched 2026-08-28T04:08:58.752631+00:00, sha 1a8fb771b642)
- Data as of 2026-08-30T08:39:29.467469+00:00.