RRepoGEO

REPOGEO REPORT · LITE

MrNeRF/awesome-3D-gaussian-splatting

Default branch main · commit a9b24b11 · scanned 5/14/2026, 12:33:00 PM

GitHub: 8,610 stars · 528 forks

AI VISIBILITY SCORE
52 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
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 MrNeRF/awesome-3D-gaussian-splatting, 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's opening to clearly state it's a resource list

    Why:

    CURRENT
    A curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
    COPY-PASTE FIX
    This repository is a curated collection of papers, implementations, and learning resources focused on 3D Gaussian Splatting (3DGS) and related technologies. It serves as a comprehensive hub for researchers and developers tracking the rapid advancements in this field.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/MrNeRF/awesome-3D-gaussian-splatting
  • lowtopics#3
    Add 'awesome-list' and 'resource-collection' to the repository topics

    Why:

    CURRENT
    3d-gaussian-splatting, 3dgs, gaussian-splatting, nerf, neural-rendering
    COPY-PASTE FIX
    3d-gaussian-splatting, 3dgs, gaussian-splatting, nerf, neural-rendering, awesome-list, resource-collection

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
1 / 2
50% of queries surface MrNeRF/awesome-3D-gaussian-splatting
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
3D Gaussian Splatting for Real-Time Radiance Field Rendering (Official Project Page)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. 3D Gaussian Splatting for Real-Time Radiance Field Rendering (Official Project Page) · recommended 1×
  2. Papers With Code · recommended 1×
  3. arXiv · recommended 1×
  4. YouTube · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of papers and learning resources for 3D Gaussian Splatting?
    you: #2
    AI recommended (in order):
    1. 3D Gaussian Splatting for Real-Time Radiance Field Rendering (Official Project Page)
    2. Awesome-3D-Gaussian-Splatting ← you
    3. Papers With Code
    4. arXiv
    5. YouTube
    6. Hugging Face
    Show full AI answer
  • CATEGORY QUERY
    What open-source implementations and tools exist for 3D scene reconstruction and rendering?
    you: not recommended
    AI recommended (in order):
    1. OpenMVS
    2. OpenSfM
    3. COLMAP
    4. Meshroom
    5. Open3D
    6. PCL (Point Cloud Library)
    7. Blender
    8. Pangolin

    AI recommended 8 alternatives but never named MrNeRF/awesome-3D-gaussian-splatting. 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 MrNeRF/awesome-3D-gaussian-splatting?
    pass
    AI did not name MrNeRF/awesome-3D-gaussian-splatting — 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 MrNeRF/awesome-3D-gaussian-splatting in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MrNeRF/awesome-3D-gaussian-splatting 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 MrNeRF/awesome-3D-gaussian-splatting solve, and who is the primary audience?
    pass
    AI did not name MrNeRF/awesome-3D-gaussian-splatting — 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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