RRepoGEO

REPOGEO REPORT · LITE

PKU-YuanGroup/MagicTime

Default branch main · commit 3b8f6bda · scanned 6/19/2026, 10:18:01 PM

GitHub: 1,342 stars · 123 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
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 PKU-YuanGroup/MagicTime, 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 README's initial descriptive paragraph to emphasize unique focus

    Why:

    CURRENT
    This repository is the official implementation of MagicTime, a metamorphic video generation pipeline based on the given prompts. The main idea is to enhance the capacity of video generation models to accurately depict the real world through our proposed methods and dataset.
    COPY-PASTE FIX
    MagicTime is the official implementation for generating realistic **time-lapse videos** and simulating **gradual metamorphic changes** from text prompts. Our pipeline enhances video generation models to accurately depict real-world transformations, offering a unique solution for researchers and developers in generative video synthesis.
  • mediumcomparison#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ### Why MagicTime? Differentiating from General Video Generation

Unlike general-purpose video generation models such as Stable Diffusion or RunwayML Gen-2, MagicTime is specifically designed for:

*   **Realistic Time-lapse Video Generation:** Focusing on temporally consistent and gradual changes over extended periods.
*   **Metamorphic Simulation:** Accurately depicting complex, evolving transformations in a controlled manner.

Our approach provides specialized tools and datasets for researchers and developers working on advanced time-series and metamorphic video synthesis, going beyond basic text-to-video generation.
  • lowreadme#3
    Add a dedicated 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ### Key Features

*   **Realistic Time-lapse Video Generation:** Generate high-quality, temporally consistent time-lapse videos from text descriptions.
*   **Metamorphic Simulation:** Simulate gradual, realistic changes and transformations within generated videos.
*   **ChronoMagic Dataset:** Leverages and contributes to a specialized dataset for time-lapse video generation.
*   **TPAMI 2025 Publication:** Backed by research accepted at a top-tier computer vision conference.

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 PKU-YuanGroup/MagicTime
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. Midjourney · recommended 2×
  3. RunwayML Gen-2 · recommended 1×
  4. Pika Labs · recommended 1×
  5. ControlNet · recommended 1×
  • CATEGORY QUERY
    How can I generate realistic time-lapse videos from text descriptions using AI?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stable Diffusion
    4. ControlNet
    5. AnimateDiff
    6. Deforum
    7. Midjourney
    8. Adobe Premiere Pro
    9. DaVinci Resolve
    10. CapCut
    11. Google Lumiere

    AI recommended 11 alternatives but never named PKU-YuanGroup/MagicTime. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What models are available for simulating gradual metamorphic changes in generated videos?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN
    2. Stable Diffusion
    3. DALL-E 2
    4. Midjourney
    5. CycleGAN
    6. StarGAN
    7. MUNIT
    8. VQGAN
    9. CLIP
    10. Phenaki
    11. Make-A-Video
    12. Google Imagen Video

    AI recommended 12 alternatives but never named PKU-YuanGroup/MagicTime. 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 PKU-YuanGroup/MagicTime?
    pass
    AI named PKU-YuanGroup/MagicTime explicitly

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

  • If a team adopts PKU-YuanGroup/MagicTime in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PKU-YuanGroup/MagicTime 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 PKU-YuanGroup/MagicTime solve, and who is the primary audience?
    pass
    AI named PKU-YuanGroup/MagicTime 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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HTML
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PKU-YuanGroup/MagicTime — 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