RRepoGEO

REPOGEO REPORT · LITE

VAST-AI-Research/UniRig

Default branch main · commit 20db03ad · scanned 5/18/2026, 3:32:34 AM

GitHub: 1,557 stars · 148 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
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 VAST-AI-Research/UniRig, 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
  • hightopics#1
    Add specific research-oriented topics

    Why:

    CURRENT
    animation, auto-rigging, autoregressive, computer-graphics
    COPY-PASTE FIX
    animation, auto-rigging, autoregressive, computer-graphics, neural-rigging, deep-learning-rigging, 3d-character-rigging-research, siggraph-2025
  • mediumreadme#2
    Reorder README to introduce UniRig before its successor, SkinTokens

    Why:

    CURRENT
    The current README starts with the SkinTokens announcement immediately after the H1.
    COPY-PASTE FIX
    Move the paragraph 'This repository contains the official implementation for the **SIGGRAPH'25 (TOG) UniRig** framework, a unified solution for automatic 3D model rigging, developed by Tsinghua University and Tripo.' to immediately follow the `# UniRig: One Model to Rig Them All` heading, before the `[!IMPORTANT]` SkinTokens announcement.
  • lowreadme#3
    Add a sentence to the 'Overview' section clarifying UniRig's unique approach against traditional methods

    Why:

    CURRENT
    Rigging 3D models – creating a skeleton and assigning skinning weights – is a crucial but often complex and time-consuming step in 3D animation. UniRig tackles this challenge by introducing a novel, unified framework leveraging large autoregressive models to automate the process for a diverse range of 3D assets.
    COPY-PASTE FIX
    Rigging 3D models – creating a skeleton and assigning skinning weights – is a crucial but often complex and time-consuming step in 3D animation. Unlike traditional manual or template-based rigging software, UniRig tackles this challenge by introducing a novel, unified framework leveraging large autoregressive models to automate the process for a diverse range of 3D assets.

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 VAST-AI-Research/UniRig
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mixamo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Mixamo · recommended 2×
  2. Character Creator · recommended 2×
  3. Blender · recommended 1×
  4. Rigify · recommended 1×
  5. Autodesk Maya · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate skeletons and skinning for 3D models?
    you: not recommended
    AI recommended (in order):
    1. Mixamo
    2. Blender
    3. Rigify
    4. Autodesk Maya
    5. Quick Rig Tool
    6. Character Creator
    7. Cascadeur
    8. ZBrush
    9. ZSphere Rigging
    10. DeepMotion
    11. Animate 3D

    AI recommended 11 alternatives but never named VAST-AI-Research/UniRig. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide highly accurate and efficient automated 3D character rigging solutions?
    you: not recommended
    AI recommended (in order):
    1. Auto-Rig Pro
    2. Mixamo
    3. Advanced Skeleton
    4. Character Creator
    5. AccuRig
    6. Rapid Rig Modular
    7. Rokoko Studio

    AI recommended 7 alternatives but never named VAST-AI-Research/UniRig. 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 VAST-AI-Research/UniRig?
    pass
    AI named VAST-AI-Research/UniRig explicitly

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

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

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

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VAST-AI-Research/UniRig — 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