RRepoGEO

REPOGEO REPORT · LITE

HengyiWang/spann3r

Default branch main · commit f89d6a23 · scanned 5/10/2026, 9:43:11 PM

GitHub: 1,125 stars · 53 forks

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 HengyiWang/spann3r, 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's opening to clearly state project's domain and unique value

    Why:

    CURRENT
    # 3D Reconstruction with Spatial Memory

### Paper | Project Page | Video

> 3D Reconstruction with Spatial Memory <br />
> Hengyi Wang, Lourdes Agapito<br />
> arXiv 2024
    COPY-PASTE FIX
    # Spann3R: 3D Reconstruction with Spatial Memory

Spann3R is a novel framework for robust and accurate 3D scene reconstruction from sequential image data, leveraging an innovative spatial memory mechanism. Recognized as a 3DV'25 Award Candidate, it supports both static and dynamic scene reconstruction across diverse real-world RGBD datasets.

### Paper | Project Page | Video

> 3D Reconstruction with Spatial Memory <br />
> Hengyi Wang, Lourdes Agapito<br />
> arXiv 2024
  • mediumtopics#2
    Add more specific topics to improve categorization and recall

    Why:

    CURRENT
    3d-reconstruction
    COPY-PASTE FIX
    3d-reconstruction, spatial-memory, sequential-data, rgbd, dynamic-scenes, computer-vision, nerfstudio, slam
  • lowlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, e.g., '## License
This project is provided under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on applicable licenses and usage.'

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 HengyiWang/spann3r
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ORB-SLAM3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ORB-SLAM3 · recommended 2×
  2. COLMAP · recommended 2×
  3. ElasticFusion · recommended 2×
  4. RTAB-Map · recommended 2×
  5. OpenVSLAM · recommended 1×
  • CATEGORY QUERY
    How to perform 3D scene reconstruction using spatial memory from sequential image data?
    you: not recommended
    AI recommended (in order):
    1. ORB-SLAM3
    2. COLMAP
    3. OpenVSLAM
    4. ElasticFusion
    5. KinectFusion
    6. RTAB-Map
    7. BundleFusion

    AI recommended 7 alternatives but never named HengyiWang/spann3r. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for robust 3D reconstruction from diverse real-world RGBD datasets?
    you: not recommended
    AI recommended (in order):
    1. Open3D
    2. ElasticFusion
    3. ORB-SLAM3
    4. RTAB-Map
    5. Realsense SDK
    6. COLMAP

    AI recommended 6 alternatives but never named HengyiWang/spann3r. 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 HengyiWang/spann3r?
    pass
    AI named HengyiWang/spann3r explicitly

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

  • If a team adopts HengyiWang/spann3r in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HengyiWang/spann3r 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 HengyiWang/spann3r solve, and who is the primary audience?
    pass
    AI named HengyiWang/spann3r 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 HengyiWang/spann3r. 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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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/HengyiWang/spann3r"><img src="https://repogeo.com/badge/HengyiWang/spann3r.svg" alt="RepoGEO" /></a>
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HengyiWang/spann3r — 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