RRepoGEO

REPOGEO REPORT · LITE

mayuelala/Awesome-Controllable-Video-Generation

Default branch main · commit a1c147e0 · scanned 6/3/2026, 11:33:08 AM

GitHub: 741 stars · 43 forks

AI VISIBILITY SCORE
15 /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
0 / 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 mayuelala/Awesome-Controllable-Video-Generation, 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
    Clarify the repo's nature as a survey/awesome list in the README's opening.

    Why:

    CURRENT
    🤗 Introduction 🚀🚀🚀A curated list of papers on controllable video generation. Please join us for more comprehensive summary. If you have any additions to the list, please raise them in the issue section. 欢迎补充👏
    COPY-PASTE FIX
    🤗 Introduction 🚀🚀🚀This repository is the official awesome list for our survey paper, "Controllable video generation: A survey" (ArXiv 2025). It provides a curated and comprehensive collection of papers and resources on controllable video generation. We welcome additions and contributions in the issue section. 欢迎补充👏
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.
  • mediumhomepage#3
    Add the ArXiv paper URL as the repository homepage.

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2507.16869

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 mayuelala/Awesome-Controllable-Video-Generation
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pika Labs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pika Labs · recommended 2×
  2. RunwayML Gen-2 · recommended 2×
  3. ControlNet · recommended 2×
  4. Stable Video Diffusion (SVD) · recommended 1×
  5. StyleGAN-V · recommended 1×
  • CATEGORY QUERY
    What are the current research directions and techniques for controllable video content synthesis?
    you: not recommended
    AI recommended (in order):
    1. Stable Video Diffusion (SVD)
    2. Pika Labs
    3. RunwayML Gen-2
    4. StyleGAN-V
    5. Vid2Vid-VC
    6. Phenaki
    7. Make-A-Video
    8. DynIBL
    9. Instant-NGP
    10. Plenoxels
    11. TensoRF
    12. ControlNet
    13. T2I-Adapter

    AI recommended 13 alternatives but never named mayuelala/Awesome-Controllable-Video-Generation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I generate video with precise control over layout, pose, or depth?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. AnimateDiff
    4. Pika Labs
    5. RunwayML Gen-2
    6. Moonvalley
    7. Deforum Stable Diffusion
    8. Midjourney

    AI recommended 8 alternatives but never named mayuelala/Awesome-Controllable-Video-Generation. 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 mayuelala/Awesome-Controllable-Video-Generation?
    pass
    AI did not name mayuelala/Awesome-Controllable-Video-Generation — 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 mayuelala/Awesome-Controllable-Video-Generation in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name mayuelala/Awesome-Controllable-Video-Generation — 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?

  • In one sentence, what problem does the repo mayuelala/Awesome-Controllable-Video-Generation solve, and who is the primary audience?
    pass
    AI did not name mayuelala/Awesome-Controllable-Video-Generation — 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?

Embed your GEO score

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mayuelala/Awesome-Controllable-Video-Generation — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite