REPOGEO REPORT · LITE

clovaai/stargan-v2

Default branch master · commit 875b70a1 · scanned 6/25/2026, 12:07:28 PM

GitHub: 3,610 stars · 674 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /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

1 / 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 the README H1 to specify its research project nature and core contribution

Why:

CURRENT

## StarGAN v2 - Official PyTorch Implementation

COPY-PASTE FIX

## StarGAN v2: Official PyTorch Implementation for Diverse Multi-Domain Image Synthesis (CVPR 2020 Research Project)

mediumtopics#2

Add more specific topics to clarify the project's domain and type

Why:

CURRENT

cvpr2020, generative-models, image-to-image-translation, pytorch, stargan-v2

COPY-PASTE FIX

cvpr2020, generative-models, image-to-image-translation, pytorch, stargan-v2, deep-learning-research, computer-vision, gan, generative-adversarial-networks, image-synthesis, multi-domain-translation

mediumhomepage#3
Add the paper link as the repository homepage
Why:
COPY-PASTE FIX
```
https://arxiv.org/abs/1912.01865
```

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

Of all named tools, what % are you?

Top rival

Stable Diffusion

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Stable Diffusion · recommended 1×
DALL-E 3 · recommended 1×
Midjourney · recommended 1×
Imagen · recommended 1×
StyleGAN · recommended 1×

CATEGORY QUERY
How to generate diverse images across multiple visual domains using a single model?
you: not recommended
AI recommended (in order):
1. Stable Diffusion
2. DALL-E 3
3. Midjourney
4. Imagen
5. StyleGAN
6. VQGAN + CLIP
AI recommended 6 alternatives but never named clovaai/stargan-v2. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best PyTorch libraries for scalable image-to-image translation and synthesis?
you: not recommended
AI recommended (in order):
1. PyTorch-GAN
2. MMEditing (open-mmlab/mmediting)
3. Hugging Face Diffusers (huggingface/diffusers)
4. TorchGAN (boschresearch/torchgan)
5. Kornia (kornia/kornia)
AI recommended 5 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 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?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/clovaai/stargan-v2.svg)](https://repogeo.com/en/r/clovaai/stargan-v2)

HTML

<a href="https://repogeo.com/en/r/clovaai/stargan-v2"><img src="https://repogeo.com/badge/clovaai/stargan-v2.svg" alt="RepoGEO" /></a>

Pro

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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