RRepoGEO

REPOGEO REPORT · LITE

open-mmlab/PIA

Default branch main · commit 73f06d74 · scanned 6/7/2026, 7:58:01 AM

GitHub: 976 stars · 74 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 open-mmlab/PIA, 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's opening to explicitly state core domain and differentiate

    Why:

    CURRENT
    The first descriptive sentence is `PIA is a personalized image animation method which can generate videos with **high motion controllability** and **strong text and image alignment**.` (appears after title, tagline, and several links).
    COPY-PASTE FIX
    # CVPR 2024 | PIA:Personalized Image Animator
    
    **PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models**
    
    This project focuses on **personalized image-to-video animation**, enabling users to generate stunning animated videos from single images using text prompts. It is a dedicated solution for **creative content generation**, distinct from general computer vision tasks like pedestrian analysis.
    
    PIA is a personalized image animation method which can generate videos with **high motion controllability** and **strong text and image alignment**.
  • mediumreadme#2
    Add a dedicated 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    *   Personalized image animation from a single image.
    *   Text-prompt driven video generation.
    *   High motion controllability and strong text/image alignment.
    *   Plug-and-play modules for text-to-image models (e.g., Dreambooth).
    *   Efficient processing, supporting 1024x1024 images with 16GB GPU memory.
  • lowreadme#3
    Add a 'Quick Start Usage' section with example commands

    Why:

    COPY-PASTE FIX
    ## Quick Start Usage
    
    To animate an image with a text prompt, use the following command:
    
    ```bash
    python animate.py --image_path assets/input_image.jpg --prompt "a dog running in a field" --output_video output.mp4
    ```
    
    (Note: Replace `animate.py` and arguments with actual script and parameters from the `tools/` directory.)

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 open-mmlab/PIA
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pika Labs
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pika Labs · recommended 2×
  2. Stable Diffusion · recommended 2×
  3. D-ID Creative Reality Studio · recommended 2×
  4. RunwayML · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    How to generate personalized animated videos from a single image using text prompts?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Pika Labs
    3. Stable Diffusion
    4. Midjourney
    5. D-ID Creative Reality Studio
    6. HeyGen

    AI recommended 6 alternatives but never named open-mmlab/PIA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools offer advanced motion control for animating still images into video clips?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1/Gen-2
    2. Pika Labs
    3. Stable Diffusion
    4. AnimateDiff
    5. ControlNet
    6. Kaiber.ai
    7. D-ID Creative Reality Studio
    8. Domino

    AI recommended 8 alternatives but never named open-mmlab/PIA. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 open-mmlab/PIA?
    pass
    AI named open-mmlab/PIA explicitly

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

  • If a team adopts open-mmlab/PIA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named open-mmlab/PIA 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 open-mmlab/PIA solve, and who is the primary audience?
    pass
    AI named open-mmlab/PIA 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 open-mmlab/PIA. 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/open-mmlab/PIA.svg)](https://repogeo.com/en/r/open-mmlab/PIA)
HTML
<a href="https://repogeo.com/en/r/open-mmlab/PIA"><img src="https://repogeo.com/badge/open-mmlab/PIA.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

open-mmlab/PIA — 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