RRepoGEO

REPOGEO REPORT · LITE

Stability-AI/stable-virtual-camera

Default branch main · commit fe19948e · scanned 7/1/2026, 1:06:56 PM

GitHub: 1,617 stars · 121 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
33 /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
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 Stability-AI/stable-virtual-camera, 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
  • highabout#1
    Clarify the 'About' description to specify input

    Why:

    CURRENT
    Stable Virtual Camera: Generative View Synthesis with Diffusion Models
    COPY-PASTE FIX
    Stable Virtual Camera: Generative View Synthesis with Diffusion Models, creating 3D consistent novel views from input images.
  • mediumcomparison#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison' or 'How is SEVA Different?' that explains its unique approach (diffusion models for NVS) compared to traditional NVS methods like NeRF or 3D reconstruction tools like COLMAP.
  • lowlicense#3
    Clarify the license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., 'License: This project is licensed under the terms specified in the [LICENSE](LICENSE) file.'

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 Stability-AI/stable-virtual-camera
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
COLMAP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. COLMAP · recommended 2×
  2. OpenMVS · recommended 2×
  3. Meshroom · recommended 2×
  4. RealityCapture · recommended 2×
  5. NeRF · recommended 1×
  • CATEGORY QUERY
    How can I generate 3D consistent novel views from a set of input images?
    you: not recommended
    AI recommended (in order):
    1. NeRF
    2. Instant-NGP
    3. Mip-NeRF 360
    4. K-Planes
    5. Original NeRF
    6. 3D Gaussian Splatting
    7. COLMAP
    8. OpenMVS
    9. Meshroom
    10. Plenoxels
    11. Neuralangelo
    12. Luma AI
    13. RealityCapture
    14. Agisoft Metashape

    AI recommended 14 alternatives but never named Stability-AI/stable-virtual-camera. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools exist for creating multi-view video from static images with camera control?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Instant NeRF
    2. COLMAP
    3. MVS-Texturing
    4. OpenMVS
    5. Metashape
    6. RealityCapture
    7. Meshroom
    8. Blender

    AI recommended 8 alternatives but never named Stability-AI/stable-virtual-camera. 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 Stability-AI/stable-virtual-camera?
    pass
    AI did not name Stability-AI/stable-virtual-camera — 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 Stability-AI/stable-virtual-camera in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Stability-AI/stable-virtual-camera 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 Stability-AI/stable-virtual-camera solve, and who is the primary audience?
    pass
    AI named Stability-AI/stable-virtual-camera explicitly

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

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Stability-AI/stable-virtual-camera — 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