RRepoGEO

REPOGEO REPORT · LITE

zengyh1900/Awesome-Image-Inpainting

Default branch master · commit 96de1852 · scanned 5/19/2026, 4:47:49 AM

GitHub: 2,171 stars · 273 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
22 /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
1 / 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
  • highlicense#1
    Add a license file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the Creative Commons Attribution 4.0 International (CC-BY-4.0) license, as it's suitable for a curated list of resources.
  • highreadme#2
    Reposition README opening to highlight unique value against generic platforms

    Why:

    CURRENT
    A curated list of inpainting papers and resources, inspired by awesome-computer-vision.
    COPY-PASTE FIX
    This repository is a centralized, human-curated collection of state-of-the-art image and video inpainting papers and resources. It offers a focused, categorized, and regularly updated overview, serving as a direct alternative to general search engines and paper archives for this specific domain.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the homepage URL in the repository's About section to: 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
Papers With Code
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. arXiv · recommended 1×
  3. Google Scholar · recommended 1×
  4. CVF Open Access · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of state-of-the-art image inpainting research papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv
    3. Google Scholar
    4. CVF Open Access
    5. GitHub
    6. Towards Data Science
    7. Medium

    AI recommended 7 alternatives but never named zengyh1900/Awesome-Image-Inpainting. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the cutting-edge techniques for filling missing regions in images and videos?
    you: not recommended
    AI recommended (in order):
    1. LaMa
    2. Stable Diffusion Inpainting
    3. DeepFillv2
    4. CoModGAN
    5. E2FGVI
    6. Flow-Guided Video Inpainting
    7. MAT

    AI recommended 7 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 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?

  • 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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zengyh1900/Awesome-Image-Inpainting — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite