RRepoGEO

REPOGEO REPORT · LITE

clovaai/stargan-v2

Default branch master · commit 875b70a1 · scanned 5/14/2026, 10:08:01 PM

GitHub: 3,607 stars · 676 forks

AI VISIBILITY SCORE
28 /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
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 clovaai/stargan-v2, 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 research focus and audience

    Why:

    CURRENT
    ## StarGAN v2 - Official PyTorch Implementation
    COPY-PASTE FIX
    ## StarGAN v2: Official PyTorch Implementation for Diverse Multi-Domain Image-to-Image Translation Research (CVPR 2020)
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/1912.01865
  • mediumlicense#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    ### License
    This project is released under the specific terms detailed in the [LICENSE](LICENSE) file. Please refer to the LICENSE file for full details on usage and distribution.

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 clovaai/stargan-v2
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stability-AI/StableDiffusion
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stability-AI/StableDiffusion · recommended 1×
  2. AUTOMATIC1111/stable-diffusion-webui · recommended 1×
  3. comfyanonymous/ComfyUI · recommended 1×
  4. invoke-ai/InvokeAI · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    How can I generate diverse images across multiple distinct visual domains?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion (Stability-AI/StableDiffusion)
    2. Automatic1111 (AUTOMATIC1111/stable-diffusion-webui)
    3. ComfyUI (comfyanonymous/ComfyUI)
    4. InvokeAI (invoke-ai/InvokeAI)
    5. Midjourney
    6. DALL-E 3
    7. Adobe Firefly
    8. Kandinsky 2.2 (ai-forever/Kandinsky-2.2)
    9. StyleGAN (NVlabs/stylegan3)

    AI recommended 9 alternatives but never named clovaai/stargan-v2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What PyTorch models exist for scalable and diverse image style transfer between domains?
    you: not recommended
    AI recommended (in order):
    1. StarGAN v2
    2. MUNIT
    3. DRIT++
    4. StyleGAN
    5. CycleGAN
    6. WCT
    7. SANet
    8. Neural Style Transfer
    9. Perceptual Losses for Real-Time Style Transfer

    AI recommended 9 alternatives but never named clovaai/stargan-v2. 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 clovaai/stargan-v2?
    pass
    AI did not name clovaai/stargan-v2 — 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 clovaai/stargan-v2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named clovaai/stargan-v2 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 clovaai/stargan-v2 solve, and who is the primary audience?
    pass
    AI named clovaai/stargan-v2 explicitly

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

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clovaai/stargan-v2 — 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