REPOGEO REPORT · LITE

zhangqianhui/AdversarialNetsPapers

Default branch master · commit b0e6343e · scanned 6/22/2026, 6:38:00 PM

GitHub: 6,566 stars · 1,892 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)

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

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 zhangqianhui/AdversarialNetsPapers, 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

highlicense#1

Add a LICENSE file and declare the license in README

Why:

CURRENT

(no LICENSE file detected)

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT or CC0 for a list of resources) in the repository root. Additionally, add a line like "This project is licensed under the MIT License - see the LICENSE file for details" to the README's introductory section.

highreadme#2

Reposition the README H1 to emphasize "Awesome List" nature

Why:

CURRENT

# AdversarialNetsPapers A collection of resources and papers on Generation Adversarial Networks.

COPY-PASTE FIX

# Awesome AdversarialNetsPapers: A Curated Collection of Generative Adversarial Network Research Papers and Code

mediumtopics#3

Add "awesome-list" and "paper-list" to repository topics

Why:

CURRENT

adversarial-networks, deep-learning, gan, image-translation

COPY-PASTE FIX

adversarial-networks, deep-learning, gan, image-translation, awesome-list, paper-list, research-papers, code-examples

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 zhangqianhui/AdversarialNetsPapers

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Papers With Code

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code · recommended 1×
arXiv · recommended 1×
arXiv Sanity Preserver · recommended 1×
GitHub · recommended 1×
Google Scholar · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of research papers and code for generative adversarial networks?
you: not recommended
AI recommended (in order):
1. Papers With Code
2. arXiv
3. arXiv Sanity Preserver
4. GitHub
5. Google Scholar
6. Towards Data Science (Medium)
7. Kaggle
AI recommended 7 alternatives but never named zhangqianhui/AdversarialNetsPapers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the latest advancements and code examples for image translation using deep learning GANs?
you: not recommended
AI recommended (in order):
1. SPADE
2. gauGAN
3. StyleGAN
4. Pix2PixHD
5. CycleGAN
6. StarGAN v2
7. MUNIT
8. DRIT++
9. AttGAN
10. InterFaceGAN
11. Vid2Vid
12. First Order Motion Model for Image Animation (FOMM)
AI recommended 12 alternatives but never named zhangqianhui/AdversarialNetsPapers. 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 zhangqianhui/AdversarialNetsPapers?
pass
AI named zhangqianhui/AdversarialNetsPapers explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts zhangqianhui/AdversarialNetsPapers in production, what risks or prerequisites should they evaluate first?
pass
AI named zhangqianhui/AdversarialNetsPapers 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 zhangqianhui/AdversarialNetsPapers solve, and who is the primary audience?
pass
AI did not name zhangqianhui/AdversarialNetsPapers — 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)

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zhangqianhui/AdversarialNetsPapers — 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