RRepoGEO

REPOGEO REPORT · LITE

zengyh1900/Awesome-Image-Inpainting

Default branch master · commit 96de1852 · scanned 6/30/2026, 12:12:55 PM

GitHub: 2,178 stars · 271 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 zengyh1900/Awesome-Image-Inpainting, 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
  • hightopics#1
    Add 'awesome-list' to repository topics

    Why:

    CURRENT
    face-completion, image-inpainting, paper-list, video-inpainting
    COPY-PASTE FIX
    awesome-list, face-completion, image-inpainting, paper-list, video-inpainting
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a chosen open-source license (e.g., MIT, Apache-2.0) to clarify usage terms.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/zengyh1900/Awesome-Image-Inpainting

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 zengyh1900/Awesome-Image-Inpainting
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. CVF Open Access · recommended 1×
  4. Papers With Code · recommended 1×
  5. IEEE Xplore Digital Library · recommended 1×
  • CATEGORY QUERY
    Where can I find recent research papers on advanced image inpainting techniques?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. CVF Open Access
    4. Papers With Code
    5. IEEE Xplore Digital Library
    6. ACM Digital Library

    AI recommended 6 alternatives but never named zengyh1900/Awesome-Image-Inpainting. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest developments in video inpainting and face completion algorithms?
    you: not recommended
    AI recommended (in order):
    1. E2FGVI
    2. FGVC
    3. STTN
    4. Deep Video Inpainting
    5. VINet
    6. LaMa
    7. StyleGAN-NADA
    8. StyleGAN-XL
    9. HiFill
    10. GLCIC
    11. DeepFill v2

    AI recommended 11 alternatives but never named zengyh1900/Awesome-Image-Inpainting. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 zengyh1900/Awesome-Image-Inpainting?
    pass
    AI named zengyh1900/Awesome-Image-Inpainting explicitly

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

  • If a team adopts zengyh1900/Awesome-Image-Inpainting in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zengyh1900/Awesome-Image-Inpainting 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 zengyh1900/Awesome-Image-Inpainting solve, and who is the primary audience?
    pass
    AI did not name zengyh1900/Awesome-Image-Inpainting — likely talking about a different project

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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