RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/HY-Motion-1.0

Default branch master · commit acb5edc4 · scanned 6/30/2026, 5:18:41 AM

GitHub: 2,424 stars · 201 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
28 /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
2 / 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 Tencent-Hunyuan/HY-Motion-1.0, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the README introduction to emphasize its role as a research model for developers

    Why:

    CURRENT
    HY-Motion 1.0 is a series of text-to-3D human motion generation models based on Diffusion Transformer (DiT) and Flow Matching. It allows developers to generate skeleton-based 3D character animations from simple text prompts, which can be directly integrated into various 3D animation pipelines. This model series is the first to scale DiT-based text-to-motion models to the billion-paramet
    COPY-PASTE FIX
    **HY-Motion 1.0** is a cutting-edge research project and model series for text-to-3D human motion generation, built on Diffusion Transformer (DiT) and Flow Matching. Designed for AI researchers and developers, it provides the codebase and pretrained models to generate high-quality, skeleton-based 3D character animations directly from text prompts, enabling integration into custom 3D animation pipelines. Unlike end-user animation tools, HY-Motion 1.0 focuses on scalable, programmatic motion synthesis.
  • mediumlicense#2
    Add a clear statement about the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [specify license name(s) here, e.g., 'a custom research license' or 'Apache 2.0 and MIT for different components']. Please refer to the `LICENSE` file for full details.

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 Tencent-Hunyuan/HY-Motion-1.0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion Animate 3D
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion Animate 3D · recommended 1×
  2. Plask.ai · recommended 1×
  3. Mixamo · recommended 1×
  4. Character Creator · recommended 1×
  5. iClone · recommended 1×
  • CATEGORY QUERY
    How to generate realistic 3D human motion or character animation from text descriptions?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Plask.ai
    3. Mixamo
    4. Character Creator
    5. iClone
    6. AccuRIG
    7. Blender
    8. Unity
    9. Unreal Engine
    10. Motion Diffusion Model
    11. T2M-GPT

    AI recommended 11 alternatives but never named Tencent-Hunyuan/HY-Motion-1.0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a diffusion model for text-to-3D character animation generation with detailed movement.
    you: not recommended
    AI recommended (in order):
    1. MagicAnimate
    2. DreamFusion
    3. MVDream
    4. SyncDreamer
    5. AnimateDiff
    6. RODIN
    7. MotionDiffuse
    8. TANGO

    AI recommended 8 alternatives but never named Tencent-Hunyuan/HY-Motion-1.0. 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 Tencent-Hunyuan/HY-Motion-1.0?
    pass
    AI did not name Tencent-Hunyuan/HY-Motion-1.0 — likely talking about a different project

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

  • If a team adopts Tencent-Hunyuan/HY-Motion-1.0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/HY-Motion-1.0 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 Tencent-Hunyuan/HY-Motion-1.0 solve, and who is the primary audience?
    pass
    AI named Tencent-Hunyuan/HY-Motion-1.0 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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Tencent-Hunyuan/HY-Motion-1.0 — 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