RRepoGEO

REPOGEO REPORT · LITE

nv-tlabs/SCube

Default branch main · commit 70f6052a · scanned 6/9/2026, 8:13:27 PM

GitHub: 526 stars · 25 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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 nv-tlabs/SCube, 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 README opening to clearly state project's core purpose

    Why:

    CURRENT
    The README immediately follows the title with author list and project page, then "News" and "Installation".
    COPY-PASTE FIX
    Add a concise sentence immediately after the main title (or the project page link) that clearly states: "SCube is a novel framework for instant, large-scale 3D scene reconstruction using VoxSplats, presented at NeurIPS 2024."
  • mediumtopics#2
    Expand topics with more specific keywords for 3D reconstruction

    Why:

    CURRENT
    3d-reconstruction, diffusion-models, gaussian-splatting, sparse-view, voxel
    COPY-PASTE FIX
    3d-reconstruction, diffusion-models, gaussian-splatting, sparse-view, voxel, real-time-3d, scene-generation, neural-rendering, large-scale-reconstruction, neurips-2024
  • lowlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., "## License\nThis project is licensed under the terms specified in the [LICENSE](LICENSE) file, which is a custom license for research use. Please review the file for full details."

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 nv-tlabs/SCube
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
COLMAP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. COLMAP · recommended 2×
  2. OpenSfM · recommended 1×
  3. Meshroom · recommended 1×
  4. RealityCapture · recommended 1×
  5. Metashape · recommended 1×
  • CATEGORY QUERY
    How to instantly reconstruct large-scale 3D scenes from sparse image data?
    you: not recommended
    AI recommended (in order):
    1. COLMAP
    2. OpenSfM
    3. Meshroom
    4. RealityCapture
    5. Metashape
    6. Instant-NGP
    7. K-Planes

    AI recommended 7 alternatives but never named nv-tlabs/SCube. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient framework for real-time 3D environment generation from multiple views.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Instant NeRF
    2. Open3D
    3. COLMAP
    4. Unity 3D
    5. Unreal Engine
    6. ORB-SLAM3

    AI recommended 6 alternatives but never named nv-tlabs/SCube. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 nv-tlabs/SCube?
    pass
    AI named nv-tlabs/SCube explicitly

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

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

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

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nv-tlabs/SCube — 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