RRepoGEO

REPOGEO REPORT · LITE

chensjtu/GaussianObject

Default branch main · commit 91048a5d · scanned 5/14/2026, 11:09:00 PM

GitHub: 1,166 stars · 84 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 chensjtu/GaussianObject, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    3d-reconstruction, gaussian-splatting, novel-view-synthesis, computer-vision, siggraph-asia, colmap-free, sparse-view-synthesis, object-reconstruction
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT, Apache-2.0, or a custom license if applicable) to the repository root.
  • mediumhomepage#3
    Add the project page URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    Set the repository's 'Homepage' field (in 'About' settings) to the URL of your project page (e.g., https://gaussianobject.github.io/ or the actual URL from your README).

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 chensjtu/GaussianObject
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mip-NeRF 360
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mip-NeRF 360 · recommended 2×
  2. Metashape · recommended 2×
  3. RealityCapture · recommended 2×
  4. Gaussian Splatting (3DGS) · recommended 1×
  5. COLMAP · recommended 1×
  • CATEGORY QUERY
    How to generate high-quality 3D models from only a few camera views using splatting?
    you: not recommended
    AI recommended (in order):
    1. Gaussian Splatting (3DGS)
    2. COLMAP
    3. Instant-NGP
    4. Mip-NeRF 360
    5. Zip-NeRF
    6. Plenoxels
    7. SparseNeRF
    8. FreeNeRF
    9. Metashape
    10. RealityCapture

    AI recommended 10 alternatives but never named chensjtu/GaussianObject. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best methods for reconstructing detailed 3D objects from sparse image inputs without COLMAP?
    you: not recommended
    AI recommended (in order):
    1. NeRF
    2. Mip-NeRF 360
    3. Instant-NGP (NVlabs/instant-ngp)
    4. OpenMVS (cdcseacave/openMVS)
    5. Meshroom (alicevision/Meshroom)
    6. AliceVision (alicevision/AliceVision)
    7. RealityCapture
    8. Metashape
    9. VisualSFM (ccwu/vsfm)
    10. PMVS
    11. CMVS
    12. MeshLab (meshlab/meshlab)
    13. 3DF Zephyr

    AI recommended 13 alternatives but never named chensjtu/GaussianObject. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 chensjtu/GaussianObject?
    pass
    AI named chensjtu/GaussianObject explicitly

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

  • If a team adopts chensjtu/GaussianObject in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chensjtu/GaussianObject 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 chensjtu/GaussianObject solve, and who is the primary audience?
    pass
    AI named chensjtu/GaussianObject explicitly

    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 chensjtu/GaussianObject. 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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chensjtu/GaussianObject — 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