RRepoGEO

REPOGEO REPORT · LITE

yuval-alaluf/stylegan3-editing

Default branch main · commit 36ce2b4d · scanned 6/5/2026, 2:57:46 AM

GitHub: 688 stars · 81 forks

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 yuval-alaluf/stylegan3-editing, 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 focus on AI-generated content editing

    Why:

    COPY-PASTE FIX
    This repository provides the official implementation for advanced image and video editing techniques specifically designed for content generated by StyleGAN3, focusing on fine-grained control and addressing challenges like texture sticking. It accompanies the paper 'Third Time's the Charm? Image and Video Editing with StyleGAN3' (AIM ECCVW 2022).
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    generative-adversarial-network, image-editing, stylegan, stylegan-encoder, stylegan3
    COPY-PASTE FIX
    generative-adversarial-network, image-editing, stylegan, stylegan-encoder, stylegan3, video-editing, latent-space-editing, generative-ai-editing
  • lowreadme#3
    Add a 'Why StyleGAN3-Editing?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why StyleGAN3-Editing?
    This repository provides the first comprehensive framework for image and video editing specifically tailored for StyleGAN3's unique architecture. Unlike methods designed for earlier StyleGAN versions, our approach leverages StyleGAN3's advancements to offer superior control, reduce artifacts like texture sticking, and expand the field of view in edited videos.

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 yuval-alaluf/stylegan3-editing
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 1×
  2. Krita · recommended 1×
  3. GIMP · recommended 1×
  4. RunwayML · recommended 1×
  5. Topaz Gigapixel AI · recommended 1×
  • CATEGORY QUERY
    What are effective techniques for editing images and videos generated by advanced AI models?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Krita
    3. GIMP
    4. RunwayML
    5. Topaz Gigapixel AI
    6. Upscayl
    7. Magnific AI
    8. DeepMotion
    9. Artbreeder
    10. Adobe Lightroom Classic
    11. Adobe Lightroom
    12. DaVinci Resolve
    13. Capture One
    14. Adobe After Effects
    15. Nuke
    16. Topaz Video AI
    17. Adobe Premiere Pro
    18. Final Cut Pro

    AI recommended 18 alternatives but never named yuval-alaluf/stylegan3-editing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to achieve fine-grained control over image generation through latent space manipulation?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN
    2. StyleGAN-Encoder
    3. GANSpace
    4. Stable Diffusion
    5. ControlNet
    6. T2I-Adapter
    7. VQ-GAN + CLIP
    8. BigGAN
    9. GLIDE

    AI recommended 9 alternatives but never named yuval-alaluf/stylegan3-editing. 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 yuval-alaluf/stylegan3-editing?
    pass
    AI did not name yuval-alaluf/stylegan3-editing — 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 yuval-alaluf/stylegan3-editing in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yuval-alaluf/stylegan3-editing 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 yuval-alaluf/stylegan3-editing solve, and who is the primary audience?
    pass
    AI named yuval-alaluf/stylegan3-editing 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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yuval-alaluf/stylegan3-editing — 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