RRepoGEO

REPOGEO REPORT · LITE

ruili3/awesome-dust3r

Default branch main · commit 6ae68fd1 · scanned 6/2/2026, 4:33:16 AM

GitHub: 793 stars · 25 forks

AI VISIBILITY SCORE
28 /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
2 / 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 ruili3/awesome-dust3r, 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 topics to clarify repo type and content focus

    Why:

    CURRENT
    bundle-adjustment, depth-estimation, multiview-geometry, pointcloud-registration, pose-estimation
    COPY-PASTE FIX
    awesome-list, curated-list, research-papers, 3d-vision-resources, geometric-foundation-models, dust3r, mast3r, bundle-adjustment, depth-estimation, multiview-geometry, pointcloud-registration, pose-estimation
  • mediumreadme#2
    Reposition the README's opening sentence to emphasize its role as a definitive, continuously updated resource hub

    Why:

    CURRENT
    A curated list of papers and open-source resources related to DUSt3R/MASt3R, the emerging geometric foundation models empowering a wide span of 3D geometry tasks & applications.
    COPY-PASTE FIX
    This repository serves as the definitive, continuously updated hub for all DUSt3R/MASt3R related research, code, and applications, tracking the latest advancements in geometric foundation models for 3D geometry tasks.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/ruili3/awesome-dust3r

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 ruili3/awesome-dust3r
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Instant-NGP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Instant-NGP · recommended 1×
  2. 3D Gaussian Splatting · recommended 1×
  3. Mip-NeRF 360 · recommended 1×
  4. Plenoxels · recommended 1×
  5. DreamFusion · recommended 1×
  • CATEGORY QUERY
    What are the latest advancements in geometric foundation models for 3D reconstruction and scene understanding?
    you: not recommended
    AI recommended (in order):
    1. Instant-NGP
    2. 3D Gaussian Splatting
    3. Mip-NeRF 360
    4. Plenoxels
    5. DreamFusion
    6. Magic3D
    7. Zero123
    8. OpenDreamer
    9. Objaverse
    10. ScanNet
    11. Matterport3D
    12. Point-BERT
    13. PointMAE
    14. ULIP
    15. Neuralangelo
    16. NeuS

    AI recommended 16 alternatives but never named ruili3/awesome-dust3r. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I accurately estimate 3D object pose and depth from multiple image views?
    you: not recommended
    AI recommended (in order):
    1. COLMAP (colmap/colmap)
    2. OpenCV (opencv/opencv)
    3. AliceVision (alicevision/AliceVision)
    4. Meshroom (alicevision/Meshroom)
    5. OpenMVS (cdcseacave/openMVS)
    6. instant-ngp (NVlabs/instant-ngp)
    7. Nerfstudio (nerfstudio-project/nerfstudio)
    8. Metashape
    9. RealityCapture

    AI recommended 9 alternatives but never named ruili3/awesome-dust3r. 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 ruili3/awesome-dust3r?
    pass
    AI did not name ruili3/awesome-dust3r — 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 ruili3/awesome-dust3r in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ruili3/awesome-dust3r 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 ruili3/awesome-dust3r solve, and who is the primary audience?
    pass
    AI named ruili3/awesome-dust3r explicitly

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

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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