RRepoGEO

REPOGEO REPORT · LITE

weihaox/GAN-Inversion

Default branch main · commit 71194886 · scanned 5/21/2026, 11:23:09 PM

GitHub: 1,130 stars · 79 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface weihaox/GAN-Inversion, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Update the 'About' description to highlight its role as a curated resource collection

    Why:

    CURRENT
    [TPAMI 2022] GAN Inversion: A Survey
    COPY-PASTE FIX
    A comprehensive survey (TPAMI 2022) and curated collection of resources on GAN Inversion.
  • mediumtopics#2
    Expand repository topics to include related fields and resource types

    Why:

    CURRENT
    awesome-list, gan-inversion
    COPY-PASTE FIX
    awesome-list, gan-inversion, computer-vision, deep-learning, generative-adversarial-networks, literature-review, survey-paper
  • lowreadme#3
    Add a dedicated section in the README for comparative resources or key insights

    Why:

    COPY-PASTE FIX
    ## Key Comparisons & Insights

For a detailed comparative analysis of various GAN inversion methods, please refer to the relevant sections within our comprehensive survey paper. We discuss different approaches, their strengths, and limitations.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface weihaox/GAN-Inversion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers with Code
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers with Code · recommended 1×
  2. arXiv.org · recommended 1×
  3. Google Scholar · recommended 1×
  4. VGG · recommended 1×
  5. ALAE · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive overview of recent advancements in GAN inversion techniques?
    you: not recommended
    AI recommended (in order):
    1. Papers with Code
    2. arXiv.org
    3. Google Scholar

    AI recommended 3 alternatives but never named weihaox/GAN-Inversion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the various methods for inverting GANs, and are there any comparative resources?
    you: not recommended
    AI recommended (in order):
    1. VGG
    2. ALAE
    3. pSp
    4. ReStyle
    5. StyleGAN

    AI recommended 5 alternatives but never named weihaox/GAN-Inversion. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of weihaox/GAN-Inversion?
    pass
    AI named weihaox/GAN-Inversion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts weihaox/GAN-Inversion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named weihaox/GAN-Inversion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo weihaox/GAN-Inversion solve, and who is the primary audience?
    pass
    AI named weihaox/GAN-Inversion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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weihaox/GAN-Inversion — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite