RRepoGEO

REPOGEO REPORT · LITE

lixiaowen-xw/DiffuEraser

Default branch master · commit 8e6f279a · scanned 6/14/2026, 4:07:39 PM

GitHub: 664 stars · 62 forks

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 lixiaowen-xw/DiffuEraser, 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 opening to clarify 'erasure' context

    Why:

    CURRENT
    DiffuEraser is a diffusion model for video inpainting, which outperforms state-of-the-art model Propainter in both content completeness and temporal consistency while maintaining acceptable efficiency.
    COPY-PASTE FIX
    DiffuEraser is a cutting-edge diffusion model specifically designed for **video inpainting**, enabling the seamless removal of unwanted objects or regions from video footage. Unlike methods focused on 'unlearning' concepts from diffusion models, DiffuEraser excels at achieving superior content completeness and temporal consistency in video editing, outperforming state-of-the-art models like Propainter while maintaining acceptable efficiency.
  • hightopics#2
    Expand topics to reinforce video inpainting and clarify 'eraser' context

    Why:

    CURRENT
    stable-diffusion, video-editing, video-inpainting
    COPY-PASTE FIX
    stable-diffusion, video-editing, video-inpainting, object-removal, video-restoration, generative-ai-for-video
  • mediumreadme#3
    Add a 'Why DiffuEraser?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why DiffuEraser?
While tools like RunwayML and Pika Labs offer broad video generation and editing capabilities, DiffuEraser specializes in **high-fidelity video inpainting and object removal**. Our diffusion model specifically focuses on achieving superior content completeness and temporal consistency for filling in missing or unwanted regions in existing video footage, often outperforming general-purpose video AI tools in this specific task.

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 lixiaowen-xw/DiffuEraser
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. Adobe After Effects · recommended 1×
  3. DaVinci Resolve Studio · recommended 1×
  4. RunwayML · recommended 1×
  5. Topaz Video AI · recommended 1×
  • CATEGORY QUERY
    How can I seamlessly remove unwanted objects from video footage with AI?
    you: not recommended
    AI recommended (in order):
    1. Adobe After Effects
    2. DaVinci Resolve Studio
    3. RunwayML
    4. Topaz Video AI
    5. Kandinsky 2.1
    6. Pika Labs
    7. Gen-1
    8. Stable Video Diffusion

    AI recommended 8 alternatives but never named lixiaowen-xw/DiffuEraser. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools use diffusion models for video editing, ensuring temporal consistency?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1/Gen-2
    2. Pika Labs
    3. Stability AI (Stable Video Diffusion / SVD)
    4. Kandinsky Video (by Sber AI)
    5. Meta Make-A-Video

    AI recommended 5 alternatives but never named lixiaowen-xw/DiffuEraser. 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 lixiaowen-xw/DiffuEraser?
    pass
    AI named lixiaowen-xw/DiffuEraser explicitly

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

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