RRepoGEO

REPOGEO REPORT · LITE

eladrich/pixel2style2pixel

Default branch master · commit 5cfff385 · scanned 5/29/2026, 1:13:40 AM

GitHub: 3,276 stars · 576 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 eladrich/pixel2style2pixel, 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
    Prominently feature 'pSp' in the README's main title

    Why:

    CURRENT
    # Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
    COPY-PASTE FIX
    # pixel2style2pixel (pSp): Encoding in Style for Image-to-Image Translation
  • mediumtopics#2
    Expand topics to include key terms from relevant queries

    Why:

    CURRENT
    cvpr2021, generative-adversarial-network, image-translation, pixel2style2pixel, psp-framework, psp-model, stylegan, stylegan-encoder
    COPY-PASTE FIX
    cvpr2021, generative-adversarial-network, image-translation, pixel2style2pixel, psp-framework, psp-model, stylegan, stylegan-encoder, latent-space, image-encoding, stylegan-inversion
  • lowreadme#3
    Add a dedicated 'Live Demos' section to the README

    Why:

    COPY-PASTE FIX
    ## Live Demos

*   **Try pSp on Replicate:** [https://replicate.ai/eladrich/pixel2style2pixel](https://replicate.ai/eladrich/pixel2style2pixel)
*   **Run in Google Colab:** [http://colab.research.google.com/github/eladrich/pixel2style2pixel/blob/master/notebooks/inference_playground.ipynb](http://colab.research.google.com/github/eladrich/pixel2style2pixel/blob/master/notebooks/inference_playground.ipynb)

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 eladrich/pixel2style2pixel
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
StyleGAN-NADA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. StyleGAN-NADA · recommended 2×
  2. StyleCLIP · recommended 1×
  3. pSp · recommended 1×
  4. Encoder4Editing · recommended 1×
  5. CycleGAN · recommended 1×
  • CATEGORY QUERY
    How can I perform image-to-image translation leveraging a StyleGAN architecture?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN-NADA
    2. StyleCLIP
    3. pSp
    4. Encoder4Editing
    5. CycleGAN
    6. StarGAN v2

    AI recommended 6 alternatives but never named eladrich/pixel2style2pixel. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework efficiently encodes real images into StyleGAN's latent W+ space?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN-NADA
    2. e4e (encoder4editing)
    3. pSp (pixel2style2pixel)
    4. PTI (Pixel2Style2Pixel for Text-Driven Image Manipulation)
    5. ReStyle
    6. Image2StyleGAN
    7. Image2StyleGAN++

    AI recommended 7 alternatives but never named eladrich/pixel2style2pixel. 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 eladrich/pixel2style2pixel?
    pass
    AI named eladrich/pixel2style2pixel explicitly

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

  • If a team adopts eladrich/pixel2style2pixel in production, what risks or prerequisites should they evaluate first?
    pass
    AI named eladrich/pixel2style2pixel 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 eladrich/pixel2style2pixel solve, and who is the primary audience?
    pass
    AI named eladrich/pixel2style2pixel explicitly

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

Embed your GEO score

Drop this badge into the README of eladrich/pixel2style2pixel. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite