RRepoGEO

REPOGEO REPORT · LITE

csbhr/FFHQ-UV

Default branch main · commit 5bc46a56 · scanned 6/10/2026, 5:48:08 PM

GitHub: 531 stars · 55 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 csbhr/FFHQ-UV, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's main title to be more descriptive

    Why:

    CURRENT
    # FFHQ-UV

### FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
    COPY-PASTE FIX
    # FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction (CVPR 2023)
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2211.13874

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 csbhr/FFHQ-UV
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
3D Scan Store
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. 3D Scan Store · recommended 1×
  2. Texturing.xyz · recommended 1×
  3. Ten24 (3D-Humanity) · recommended 1×
  4. Renderpeople · recommended 1×
  5. Turbosquid · recommended 1×
  • CATEGORY QUERY
    Where can I find high-quality facial UV texture maps for realistic 3D face reconstruction?
    you: not recommended
    AI recommended (in order):
    1. 3D Scan Store
    2. Texturing.xyz
    3. Ten24 (3D-Humanity)
    4. Renderpeople
    5. Turbosquid
    6. Sketchfab
    7. ArtStation Marketplace

    AI recommended 7 alternatives but never named csbhr/FFHQ-UV. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What datasets provide diverse, normalized facial textures for training robust 3D face models?
    you: not recommended
    AI recommended (in order):
    1. 300W-LP
    2. CelebA-HQ
    3. FaceWarehouse
    4. LFW
    5. Bosphorus Database
    6. Multi-PIE
    7. FRGC v2.0

    AI recommended 7 alternatives but never named csbhr/FFHQ-UV. 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 csbhr/FFHQ-UV?
    pass
    AI named csbhr/FFHQ-UV explicitly

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

  • If a team adopts csbhr/FFHQ-UV in production, what risks or prerequisites should they evaluate first?
    pass
    AI named csbhr/FFHQ-UV 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 csbhr/FFHQ-UV solve, and who is the primary audience?
    pass
    AI did not name csbhr/FFHQ-UV — 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?

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csbhr/FFHQ-UV — 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
csbhr/FFHQ-UV — RepoGEO report