RRepoGEO

REPOGEO REPORT · LITE

XPixelGroup/HYPIR

Default branch main · commit b61d107c · scanned 5/15/2026, 4:43:42 PM

GitHub: 1,156 stars · 93 forks

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
    Reposition README introduction to clarify purpose

    Why:

    CURRENT
    ## HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration
    COPY-PASTE FIX
    This repository provides the official PyTorch implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration, a method presented at SIGGRAPH 2025. 

## HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration
  • highreadme#2
    Clarify project license in README

    Why:

    COPY-PASTE FIX
    ## :page_facing_up: License

This project is released under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details.
  • mediumcomparison#3
    Add a 'Why HYPIR?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## :sparkles: Why HYPIR? (or Comparison with Alternatives)

HYPIR introduces a novel approach to image restoration by harnessing diffusion-yielded score priors, offering state-of-the-art performance, particularly for [mention specific strengths, e.g., handling complex degradations, specific types of images, or efficiency]. Unlike [Competitor A] or [Competitor B], HYPIR focuses on [specific differentiator, e.g., leveraging advanced generative models for superior detail reconstruction without requiring extensive paired training data].

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 Labs Gigapixel AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Topaz Labs Gigapixel AI · recommended 1×
  2. Adobe Photoshop · recommended 1×
  3. upscayl/upscayl · recommended 1×
  4. TencentARC/GFPGAN · recommended 1×
  5. xinntao/Real-ESRGAN · recommended 1×
  • CATEGORY QUERY
    How can I improve low-quality images using advanced AI techniques for restoration?
    you: not recommended
    AI recommended (in order):
    1. Topaz Labs Gigapixel AI
    2. Adobe Photoshop
    3. Upscayl (upscayl/upscayl)
    4. GFPGAN (TencentARC/GFPGAN)
    5. Real-ESRGAN (xinntao/Real-ESRGAN)
    6. HitPaw Photo Enhancer
    7. Luminar Neo

    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 for high-quality image upscaling and detail enhancement?
    you: not recommended
    AI recommended (in order):
    1. Topaz Photo AI
    2. Upscayl
    3. Magnific AI
    4. Stable Diffusion
    5. Midjourney
    6. Fooocus

    AI recommended 6 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

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MARKDOWN (README)
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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