RRepoGEO

REPOGEO REPORT · LITE

wenqsun/DimensionX

Default branch main · commit 18d3cfe4 · scanned 6/19/2026, 8:08:19 PM

GitHub: 1,330 stars · 77 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 wenqsun/DimensionX, 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 direct introductory sentence to the README

    Why:

    CURRENT
    Official implementation of DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion
    COPY-PASTE FIX
    DimensionX is a cutting-edge generative AI project for creating photorealistic 3D and 4D scenes. This repository provides the official implementation of DimensionX: Create Any 3D and 4D Scenes from a Single Image with Decoupled Video Diffusion
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    3d-scene-generation, 4d-scene-generation, video-diffusion, single-image-to-3d, computer-vision, deep-learning, generative-ai, iccv2025
  • mediumcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why DimensionX?
Unlike existing video diffusion models that struggle with precise spatial and temporal control, DimensionX introduces ST-Director to decouple these factors. This allows for superior manipulation of 3D structures and 4D dynamics, enabling more accurate and controllable generation of photorealistic scenes from a single image, addressing limitations found in approaches like DreamFusion or MVDream.

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 wenqsun/DimensionX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamFusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamFusion · recommended 2×
  2. MVDream · recommended 2×
  3. Neuralangelo · recommended 2×
  4. Luma AI · recommended 1×
  5. Instant NGP · recommended 1×
  • CATEGORY QUERY
    How can I create dynamic 3D or 4D scenes from just one input image?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Instant NGP
    3. Wonder Studio
    4. DreamFusion
    5. MVDream
    6. Neuralangelo
    7. RunwayML Gen-2
    8. Pika Labs
    9. Dynamic NeRFs
    10. 4D Gaussian Splatting

    AI recommended 10 alternatives but never named wenqsun/DimensionX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow generating controllable 3D/4D scenes using video diffusion from a single image?
    you: not recommended
    AI recommended (in order):
    1. DreamFusion
    2. MVDream
    3. Zero123
    4. Zero123++
    5. Magic123
    6. AnimateDiff
    7. Stable Video Diffusion (SVD)
    8. Neuralangelo
    9. LERF

    AI recommended 9 alternatives but never named wenqsun/DimensionX. 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 wenqsun/DimensionX?
    pass
    AI named wenqsun/DimensionX explicitly

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

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