RRepoGEO

REPOGEO REPORT · LITE

XPixelGroup/HYPIR

Default branch main · commit b61d107c · scanned 6/26/2026, 9:28:02 AM

GitHub: 1,192 stars · 95 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
35 /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
3 / 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 XPixelGroup/HYPIR, 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
    Add a concise, user-oriented value proposition to the README

    Why:

    COPY-PASTE FIX
    HYPIR is a state-of-the-art image restoration framework that leverages diffusion-yielded score priors to significantly enhance low-quality images, offering superior performance for tasks like super-resolution and upscaling. It is ideal for researchers and developers seeking advanced solutions in AI-driven image quality improvement.
  • mediumtopics#2
    Add 'diffusion-models' and 'score-based-models' to the repository topics

    Why:

    CURRENT
    image-restoration, image-super-resolution, image-upscaling
    COPY-PASTE FIX
    image-restoration, image-super-resolution, image-upscaling, diffusion-models, score-based-models
  • mediumlicense#3
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [Specify License Name(s) and terms, e.g., a custom academic license or a combination of licenses]. Please refer to the LICENSE file for full details regarding 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 XPixelGroup/HYPIR
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Topaz Photo AI · recommended 2×
  2. upscayl/upscayl · recommended 2×
  3. Adobe Photoshop · recommended 1×
  4. TencentARC/GFPGAN · recommended 1×
  5. xinntao/Real-ESRGAN · recommended 1×
  • CATEGORY QUERY
    How can I improve low-quality images using state-of-the-art AI for restoration?
    you: not recommended
    AI recommended (in order):
    1. Topaz Photo AI
    2. Upscayl (upscayl/upscayl)
    3. Adobe Photoshop
    4. GFPGAN (TencentARC/GFPGAN)
    5. Real-ESRGAN (xinntao/Real-ESRGAN)
    6. Luminar Neo
    7. HitPaw Photo Enhancer

    AI recommended 7 alternatives but never named XPixelGroup/HYPIR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools leverage diffusion models to enhance image quality and perform upscaling?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Automatic1111 (AUTOMATIC1111/stable-diffusion-webui)
    3. ComfyUI (comfyanonymous/ComfyUI)
    4. Upscayl (upscayl/upscayl)
    5. Topaz Photo AI
    6. Topaz Gigapixel AI
    7. Midjourney
    8. InvokeAI (invoke-ai/InvokeAI)

    AI recommended 8 alternatives but never named XPixelGroup/HYPIR. 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 XPixelGroup/HYPIR?
    pass
    AI named XPixelGroup/HYPIR explicitly

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

  • If a team adopts XPixelGroup/HYPIR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named XPixelGroup/HYPIR 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 XPixelGroup/HYPIR solve, and who is the primary audience?
    pass
    AI named XPixelGroup/HYPIR explicitly

    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 XPixelGroup/HYPIR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/XPixelGroup/HYPIR.svg)](https://repogeo.com/en/r/XPixelGroup/HYPIR)
HTML
<a href="https://repogeo.com/en/r/XPixelGroup/HYPIR"><img src="https://repogeo.com/badge/XPixelGroup/HYPIR.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

XPixelGroup/HYPIR — 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