RRepoGEO

REPOGEO REPORT · LITE

liruilong940607/prope

Default branch main · commit 4c112977 · scanned 6/15/2026, 6:38:24 PM

GitHub: 721 stars · 12 forks

AI VISIBILITY SCORE
35 /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
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 liruilong940607/prope, 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 the README's opening sentence to clarify the project's core domain.

    Why:

    CURRENT
    This is the official repo for the paper "Cameras as Relative Positional Encoding", published at NeurIPS 2025.
    COPY-PASTE FIX
    PRoPE is the official repository for "Cameras as Relative Positional Encoding" (NeurIPS 2025), a novel method for integrating camera parameters into multi-view transformer architectures to capture 3D relationships between image tokens.
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of the MIT License.
  • mediumtopics#3
    Expand repository topics with more specific computer vision and 3D terms.

    Why:

    CURRENT
    multi-view, positional-encoding, transformer
    COPY-PASTE FIX
    multi-view, positional-encoding, transformer, computer-vision, 3d-reconstruction, neural-rendering, camera-pose, multi-view-stereo

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 liruilong940607/prope
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DETR3D
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DETR3D · recommended 2×
  2. Perceiver IO · recommended 2×
  3. NeRF · recommended 1×
  4. MVSFormer · recommended 1×
  5. MVSNet · recommended 1×
  • CATEGORY QUERY
    What are effective methods for integrating camera parameters into multi-view transformer architectures?
    you: not recommended
    AI recommended (in order):
    1. NeRF
    2. DETR3D
    3. MVSFormer
    4. Perceiver IO
    5. MVSNet
    6. StyleGAN

    AI recommended 6 alternatives but never named liruilong940607/prope. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I represent relative 3D spatial relationships between images for transformer models?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. Neural Radiance Fields (NeRF)
    3. Mip-NeRF 360
    4. Instant-NGP
    5. Perceiver IO
    6. DETR3D
    7. PyTorch Geometric
    8. DGL
    9. PyTorch3D
    10. Open3D

    AI recommended 10 alternatives but never named liruilong940607/prope. 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 liruilong940607/prope?
    pass
    AI named liruilong940607/prope explicitly

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

  • If a team adopts liruilong940607/prope in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liruilong940607/prope 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 liruilong940607/prope solve, and who is the primary audience?
    pass
    AI named liruilong940607/prope 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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liruilong940607/prope — 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