# weihaox/GAN-Inversion

[TPAMI 2022] GAN Inversion: A Survey

Repository: https://github.com/weihaox/GAN-Inversion
Canonical: https://ross.abutalabs.com/products/gan-inversion
Homepage: https://arxiv.org/abs/2101.05278
Language: TeX
License: MIT
License Family: permissive
Topics: gan-inversion, awesome-list
Last push: 2026-07-14T02:45:22+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 2005, "days_push": 50, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1127, forks 77 (observed 2026-08-28T04:03:41.483598+00:00)

## What it is
A curated awesome-list and companion repository for the TPAMI 2022 survey 'GAN Inversion: A Survey'. It collects papers, pretrained inverted models, methods, and resources on inverting images into GAN latent spaces.

## Use cases
- find papers on GAN inversion
- learn how to invert images into StyleGAN latent space
- survey GAN latent space editing techniques
- find pretrained inverted GAN models
- research real image editing with GANs

## When to choose
- you need a comprehensive reading list on GAN inversion
- you are researching latent space editing or image restoration with GANs
- you want links to implementations and inverted pretrained models

## When to avoid
- you need runnable GAN inversion code rather than a paper collection
- you want a general GAN tutorial unrelated to inversion

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, machine-learning, computer-vision
- domain: deep-learning, computer-vision, image-processing, tutorials, awesome-lists
- platform: cross-platform
- tags: gan-inversion, survey, stylegan, image-editing, generative-models, paper-list

## Member repositories
- weihaox/GAN-Inversion (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.483598+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 2026-08-30T06:38:55.650608+00:00, confidence not recorded.
  - readme: https://github.com/weihaox/GAN-Inversion (fetched 2026-08-28T04:03:41.483598+00:00, sha bc9d6fc29e1e)
  - homepage: https://arxiv.org/abs/2101.05278 (fetched 2026-08-29T12:43:31.831893+00:00, sha 938d1313b003)
  - site_page: https://info.arxiv.org/about/donate.html (fetched 2026-08-29T12:43:31.840883+00:00, sha cca9c3a11c56)
  - site_page: https://info.arxiv.org/about/ourmembers.html (fetched 2026-08-29T12:43:31.844341+00:00, sha 47cbc55ff1de)
  - site_page: https://info.arxiv.org/about (fetched 2026-08-29T12:43:31.847273+00:00, sha a1f16f915a9a)
  - site_page: https://info.arxiv.org/labs/index.html (fetched 2026-08-29T12:43:31.842652+00:00, sha b14a8d05a0ec)
- Data as of 2026-08-30T08:39:29.467469+00:00.