RRepoGEO

REPOGEO REPORT · LITE

zhangqianhui/AdversarialNetsPapers

Default branch master · commit b0e6343e · scanned 5/12/2026, 12:27:30 PM

GitHub: 6,573 stars · 1,900 forks

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 zhangqianhui/AdversarialNetsPapers, 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
  • highreadme#1
    Reposition the README H1 to clarify the repo's nature and audience

    Why:

    CURRENT
    # AdversarialNetsPapers
A collection of resources and papers on Generation Adversarial Networks.
    COPY-PASTE FIX
    # AdversarialNetsPapers: A comprehensive, curated collection of research papers and resources on Generative Adversarial Networks (GANs), often including links to code, for researchers and practitioners.
  • highlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits the project's intent for sharing a paper list.
  • mediumtopics#3
    Expand repository topics for better categorization and recall

    Why:

    CURRENT
    adversarial-networks, deep-learning, gan, image-translation
    COPY-PASTE FIX
    adversarial-networks, deep-learning, gan, image-translation, computer-vision, machine-learning, research-papers, awesome-list, paper-list, generative-models

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 zhangqianhui/AdversarialNetsPapers
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. nightrome/really-awesome-gans · recommended 1×
  3. arXiv · recommended 1×
  4. Google Scholar · recommended 1×
  5. Towards Data Science · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of generative adversarial network research papers with code?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. GitHub Awesome GANs (nightrome/really-awesome-gans)
    3. arXiv
    4. Google Scholar
    5. Towards Data Science

    AI recommended 5 alternatives but never named zhangqianhui/AdversarialNetsPapers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I explore applications of adversarial networks for image translation and facial manipulation?
    you: not recommended
    AI recommended (in order):
    1. Pix2Pix
    2. CycleGAN
    3. StyleGAN2
    4. StyleGAN3
    5. StarGAN
    6. StarGAN v2
    7. DeepFaceLab
    8. FaceShifter
    9. UGATIT

    AI recommended 9 alternatives but never named zhangqianhui/AdversarialNetsPapers. 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 zhangqianhui/AdversarialNetsPapers?
    pass
    AI named zhangqianhui/AdversarialNetsPapers explicitly

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

  • If a team adopts zhangqianhui/AdversarialNetsPapers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name zhangqianhui/AdversarialNetsPapers — 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?

  • In one sentence, what problem does the repo zhangqianhui/AdversarialNetsPapers solve, and who is the primary audience?
    pass
    AI did not name zhangqianhui/AdversarialNetsPapers — 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

Drop this badge into the README of zhangqianhui/AdversarialNetsPapers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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zhangqianhui/AdversarialNetsPapers — RepoGEO report