RRepoGEO

REPOGEO REPORT · LITE

Stability-AI/stable-virtual-camera

Default branch main · commit fe19948e · scanned 5/20/2026, 2:42:02 AM

GitHub: 1,605 stars · 120 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
  • highreadme#1
    Emphasize "on-the-fly virtual camera" in the README overview

    Why:

    CURRENT
    `Stable Virtual Camera (SEVA)` is a generalist diffusion model for Novel View Synthesis (NVS), generating 3D consistent novel views of a scene, given any number of input views and target cameras.
    COPY-PASTE FIX
    `Stable Virtual Camera (SEVA)` is a generative diffusion model that creates real-time, 3D-consistent virtual camera feeds from text prompts and camera controls. It acts as a generalist model for Novel View Synthesis (NVS), generating 3D consistent novel views of a scene, given any number of input views and target cameras.
  • mediumtopics#2
    Add more specific topics for virtual camera and real-time generation

    Why:

    CURRENT
    diffusion-model, image-to-video, novel-view-synthesis, stable-virtual-camera
    COPY-PASTE FIX
    diffusion-model, image-to-video, novel-view-synthesis, stable-virtual-camera, virtual-camera, real-time-generation, 3d-camera-control, generative-video, virtual-production
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms found in the [LICENSE](LICENSE) file. Please refer to the file for specific details regarding usage and distribution.

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
K-Planes
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. K-Planes · recommended 2×
  2. COLMAP · recommended 2×
  3. TensoRF · recommended 2×
  4. NeRF · recommended 1×
  5. Mip-NeRF 360 · recommended 1×
  • CATEGORY QUERY
    How can I generate new 3D consistent views from a few input images?
    you: not recommended
    AI recommended (in order):
    1. NeRF
    2. Mip-NeRF 360
    3. Instant-NGP
    4. K-Planes
    5. 3D Gaussian Splatting
    6. COLMAP
    7. Meshroom (AliceVision)
    8. RealityCapture
    9. Agisoft Metashape
    10. nerfstudio
    11. TensoRF
    12. Original 3D Gaussian Splatting repository (by INRIA)
    13. Various PyTorch/JAX ports
    14. SynSin
    15. GIRAFFE
    16. StyleGAN-NADA

    AI recommended 16 alternatives but never named Stability-AI/stable-virtual-camera. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create multi-view video generation with controllable 3D camera paths?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Instant NeRF
    2. Plenoxels
    3. TensoRF
    4. K-Planes
    5. Blender
    6. COLMAP
    7. MVS-Texturing
    8. OpenMVS
    9. DreamFusion
    10. Magic3D
    11. Nerfstudio

    AI recommended 11 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 — RepoGEO report