RRepoGEO

REPOGEO REPORT · LITE

zhaorw02/DeepMesh

Default branch main · commit 940d23ee · scanned 6/2/2026, 11:47:57 PM

GitHub: 719 stars · 35 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 zhaorw02/DeepMesh, 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
    Add a concise value proposition to the README's opening

    Why:

    COPY-PASTE FIX
    DeepMesh is a novel framework for auto-regressive artist-mesh creation, leveraging reinforcement learning to generate high-quality 3D models from point clouds.
  • mediumtopics#2
    Refine repository topics for better categorization

    Why:

    CURRENT
    3d, aigc, dpo, generative-model, llm, mesh, mesh-generation, point-cloud
    COPY-PASTE FIX
    3d, aigc, dpo, generative-model, mesh, mesh-generation, point-cloud, creative-ai, generative-art, reinforcement-learning-3d
  • lowabout#3
    Rephrase the repository description to emphasize unique features

    Why:

    CURRENT
    [ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
    COPY-PASTE FIX
    DeepMesh: Artist-Mesh Creation via Auto-Regressive Reinforcement Learning for 3D models [ICCV 2025 Official Code]

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 zhaorw02/DeepMesh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA/Kaolin
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA/Kaolin · recommended 2×
  2. isl-org/Open3D · recommended 1×
  3. facebookresearch/pytorch3d · recommended 1×
  4. Neuralangelo · recommended 1×
  5. facebookresearch/meshrcnn · recommended 1×
  • CATEGORY QUERY
    How to automatically generate 3D meshes from point clouds using AI?
    you: not recommended
    AI recommended (in order):
    1. Open3D (isl-org/Open3D)
    2. PyTorch3D (facebookresearch/pytorch3d)
    3. Neuralangelo
    4. Kaolin (NVIDIA/Kaolin)
    5. Mesh R-CNN (facebookresearch/meshrcnn)
    6. Deep Marching Tetrahedra (DMT)
    7. DeepSDF

    AI recommended 7 alternatives but never named zhaorw02/DeepMesh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool for artist-style 3D mesh generation using reinforcement learning.
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Neuron
    2. Plask
    3. RunwayML
    4. NVIDIA Kaolin (NVIDIA/Kaolin)
    5. OpenAI Gym (openai/gym)

    AI recommended 5 alternatives but never named zhaorw02/DeepMesh. 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 zhaorw02/DeepMesh?
    pass
    AI named zhaorw02/DeepMesh explicitly

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

  • If a team adopts zhaorw02/DeepMesh in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zhaorw02/DeepMesh 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 zhaorw02/DeepMesh solve, and who is the primary audience?
    pass
    AI named zhaorw02/DeepMesh explicitly

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

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zhaorw02/DeepMesh — 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