RRepoGEO

REPOGEO REPORT · LITE

MrNeRF/awesome-3D-gaussian-splatting

Default branch main · commit 461868a5 · scanned 6/25/2026, 1:07:41 AM

GitHub: 8,711 stars · 538 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)

3 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 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
  • hightopics#1
    Add 'awesome-list', 'papers', and 'resources' to 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, papers, resources
  • mediumreadme#2
    Refine the README's opening sentence to emphasize its utility for discovery

    Why:

    CURRENT
    A curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
    COPY-PASTE FIX
    A central, curated hub for discovering papers, implementations, and resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/MrNeRF/awesome-3D-gaussian-splatting

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 MrNeRF/awesome-3D-gaussian-splatting
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome Neural Rendering
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome Neural Rendering · recommended 1×
  2. arXiv · recommended 1×
  3. Google Scholar · recommended 1×
  4. Foundations and Trends® in Computer Graphics and Vision · recommended 1×
  5. SIGGRAPH · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive research papers and learning materials on neural rendering techniques?
    you: not recommended
    AI recommended (in order):
    1. Awesome Neural Rendering
    2. arXiv
    3. Google Scholar
    4. Foundations and Trends® in Computer Graphics and Vision
    5. SIGGRAPH
    6. SIGGRAPH Asia
    7. ACM Digital Library
    8. YouTube
    9. Stanford CS231N
    10. CMU 15-462
    11. OpenReview

    AI recommended 11 alternatives but never named MrNeRF/awesome-3D-gaussian-splatting. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source implementations and tools for efficient 3D reconstruction from images.
    you: not recommended
    AI recommended (in order):
    1. COLMAP (colmap/colmap)
    2. OpenMVS (cdcseacave/openMVS)
    3. Meshroom (alicevision/meshroom)
    4. OpenSfM (mapillary/OpenSfM)
    5. MVE (simonfuhrmann/mve)
    6. Theia Structure from Motion Library (sweeneychris/TheiaSfM)
    7. VisualSFM

    AI recommended 7 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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MrNeRF/awesome-3D-gaussian-splatting — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite