RRepoGEO

REPOGEO REPORT · LITE

hustvl/GaussianDreamer

Default branch main · commit 76a38ffc · scanned 6/7/2026, 2:57:37 AM

GitHub: 827 stars · 49 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 hustvl/GaussianDreamer, 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 to highlight core value and differentiator

    Why:

    CURRENT
    The current structure where the H1 is immediately followed by '### Project Page | arxiv Paper' and then a repeated title and author list.
    COPY-PASTE FIX
    # GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024)
GaussianDreamer enables rapid, high-quality 3D asset generation from text prompts, leveraging the efficiency of 3D Gaussian Splatting and combining the strengths of 2D and 3D diffusion models.
### Project Page | arxiv Paper
  • mediumreadme#2
    Clarify target audience and primary use case in the README

    Why:

    COPY-PASTE FIX
    This repository provides a research framework for AI researchers and 3D developers to explore and build upon advanced text-to-3D generation techniques.
  • lowtopics#3
    Add a topic emphasizing 'fast' or 'efficient' 3D generation

    Why:

    CURRENT
    aigc, computer-vision, cvpr2024, diffusion-models, dreamfusion, gaussian-splatting, nerf, radiance-field, smpl, text-to-3d
    COPY-PASTE FIX
    aigc, computer-vision, cvpr2024, diffusion-models, dreamfusion, gaussian-splatting, nerf, radiance-field, smpl, text-to-3d, fast-3d-generation

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 hustvl/GaussianDreamer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Luma AI (Genie)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Luma AI (Genie) · recommended 1×
  2. Meshy · recommended 1×
  3. Masterpiece Studio (Text-to-3D) · recommended 1×
  4. Blockade Labs (Skybox AI with 3D Export) · recommended 1×
  5. Spline (AI Text to 3D) · recommended 1×
  • CATEGORY QUERY
    How can I generate detailed 3D models from text prompts quickly and efficiently?
    you: not recommended
    AI recommended (in order):
    1. Luma AI (Genie)
    2. Meshy
    3. Masterpiece Studio (Text-to-3D)
    4. Blockade Labs (Skybox AI with 3D Export)
    5. Spline (AI Text to 3D)
    6. Kaedim
    7. Stable Diffusion (with ControlNet and specific 3D extensions)

    AI recommended 7 alternatives but never named hustvl/GaussianDreamer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest AI methods for creating 3D objects with strong spatial consistency?
    you: not recommended
    AI recommended (in order):
    1. 3D Gaussian Splatting
    2. Instant NGP
    3. MVDream
    4. Zero123++
    5. DreamFusion
    6. Magic3D
    7. NeRF
    8. K-Planes
    9. TensoRF
    10. GET3D

    AI recommended 10 alternatives but never named hustvl/GaussianDreamer. 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 hustvl/GaussianDreamer?
    pass
    AI named hustvl/GaussianDreamer explicitly

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

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