RRepoGEO

REPOGEO REPORT · LITE

Mael-zys/T2M-GPT

Default branch main · commit b1446f12 · scanned 6/5/2026, 5:12:31 PM

GitHub: 764 stars · 65 forks

AI VISIBILITY SCORE
62 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 when recommended
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 Mael-zys/T2M-GPT, 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 H1 to emphasize human motion generation

    Why:

    CURRENT
    # (CVPR 2023) T2M-GPT
    COPY-PASTE FIX
    # T2M-GPT: Text-to-Human Motion Generation (CVPR 2023)
  • mediumtopics#2
    Add more specific and relevant topics

    Why:

    CURRENT
    gpt, motion-generation, vq-vae
    COPY-PASTE FIX
    gpt, motion-generation, human-motion, text-to-motion, pytorch, deep-learning, computer-vision, cvpr-2023
  • lowreadme#3
    Add a 'Key Features' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Key Features

- **GPT-like Autoregressive Transformer Architecture:** Leverages a GPT-based model for text-to-human motion synthesis, enabling better long-term coherence and diversity in generated motions.
- **Discrete Representations:** Utilizes a hierarchical VAE-GPT structure based on discrete motion tokens, offering a novel approach to motion generation.
- **Research-focused PyTorch Implementation:** Provides a robust PyTorch implementation for researchers and developers exploring advanced generative models in computer vision.

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
1 / 2
50% of queries surface Mael-zys/T2M-GPT
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
Motion Diffusion Model (MDM)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Motion Diffusion Model (MDM) · recommended 1×
  2. T2M-GPT (Text-to-Motion Generative Pre-trained Transformer) · recommended 1×
  3. Mixamo (Adobe Mixamo) · recommended 1×
  4. DeepMotion (Animate 3D) · recommended 1×
  5. OpenPose · recommended 1×
  • CATEGORY QUERY
    How can I generate realistic human motion sequences from descriptive text inputs?
    you: not recommended
    AI recommended (in order):
    1. Motion Diffusion Model (MDM)
    2. T2M-GPT (Text-to-Motion Generative Pre-trained Transformer)
    3. Mixamo (Adobe Mixamo)
    4. DeepMotion (Animate 3D)
    5. OpenPose
    6. MediaPipe Pose
    7. Blender
    8. Unity
    9. Unreal Engine

    AI recommended 9 alternatives but never named Mael-zys/T2M-GPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are current PyTorch libraries for text-to-motion synthesis using discrete representations?
    you: #5
    AI recommended (in order):
    1. MotionDiffuse
    2. TEMOS
    3. MDM
    4. V-MoCo
    5. T2M-GPT ← you
    6. MotionCLIP
    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 Mael-zys/T2M-GPT?
    pass
    AI named Mael-zys/T2M-GPT explicitly

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

  • If a team adopts Mael-zys/T2M-GPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Mael-zys/T2M-GPT 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 Mael-zys/T2M-GPT solve, and who is the primary audience?
    pass
    AI named Mael-zys/T2M-GPT explicitly

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

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Mael-zys/T2M-GPT — 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