RRepoGEO

REPOGEO REPORT · LITE

YapengTian/Single-Image-Super-Resolution

Default branch master · commit d3714898 · scanned 6/25/2026, 8:42:47 PM

GitHub: 1,896 stars · 377 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 YapengTian/Single-Image-Super-Resolution, 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's opening sentence to clarify its purpose

    Why:

    CURRENT
    A list of resources for example-based single image super-resolution, inspired by Awesome-deep-vision and Awesome Computer Vision .
    COPY-PASTE FIX
    This repository curates and organizes high-impact and state-of-the-art methods for Single Image Super-Resolution (SISR), serving as a comprehensive resource for researchers and practitioners.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root.
  • mediumtopics#3
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    single-image-super-resolution, super-resolution, deep-learning, computer-vision, image-processing, sisr, awesome-list, research, state-of-the-art

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 YapengTian/Single-Image-Super-Resolution
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Topaz Photo AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Topaz Photo AI · recommended 1×
  2. upscayl/upscayl · recommended 1×
  3. Gigapixel AI · recommended 1×
  4. Adobe Photoshop · recommended 1×
  5. Luminar Neo · recommended 1×
  • CATEGORY QUERY
    How can I enhance the resolution and detail of a single low-quality image?
    you: not recommended
    AI recommended (in order):
    1. Topaz Photo AI
    2. Upscayl (upscayl/upscayl)
    3. Gigapixel AI
    4. Adobe Photoshop
    5. Luminar Neo
    6. Fotor
    7. Waifu2x (nagadomi/waifu2x)

    AI recommended 7 alternatives but never named YapengTian/Single-Image-Super-Resolution. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the most effective deep learning approaches for single image super-resolution?
    you: not recommended
    AI recommended (in order):
    1. ESRGAN
    2. Real-ESRGAN
    3. SwinIR
    4. EDSR
    5. RCAN
    6. SRGAN
    7. SRCNN

    AI recommended 7 alternatives but never named YapengTian/Single-Image-Super-Resolution. 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 YapengTian/Single-Image-Super-Resolution?
    pass
    AI did not name YapengTian/Single-Image-Super-Resolution — 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 YapengTian/Single-Image-Super-Resolution in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YapengTian/Single-Image-Super-Resolution 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 YapengTian/Single-Image-Super-Resolution solve, and who is the primary audience?
    pass
    AI did not name YapengTian/Single-Image-Super-Resolution — 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

Drop this badge into the README of YapengTian/Single-Image-Super-Resolution. 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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YapengTian/Single-Image-Super-Resolution — 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