RRepoGEO

REPOGEO REPORT · LITE

YanjieZe/3D-Diffusion-Policy

Default branch master · commit 47385d9d · scanned 5/21/2026, 2:38:26 PM

GitHub: 1,361 stars · 155 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 YanjieZe/3D-Diffusion-Policy, 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 unique value proposition in the README's opening

    Why:

    CURRENT
    3D Diffusion Policy (DP3) is a universal visual imitation learning algorithm that marries 3D visual representations with diffusion policies, achieving surprising effectiveness in diverse simulated and real-world tasks, including both high-dimensional and low-dimensional control tasks, with a practical inference speed.
    COPY-PASTE FIX
    3D Diffusion Policy (DP3) is a cutting-edge algorithm for generalizable visuomotor policy learning in robotics, leveraging 3D visual representations and diffusion models to achieve robust imitation learning across diverse simulated and real-world tasks.
  • mediumabout#2
    Expand the repository description for better keyword matching

    Why:

    CURRENT
    [RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
    COPY-PASTE FIX
    [RSS 2024] 3D Diffusion Policy (DP3) offers a novel approach to generalizable visuomotor policy learning for robotics, utilizing simple 3D representations and diffusion models for robust imitation learning across diverse tasks.

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 YanjieZe/3D-Diffusion-Policy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 1×
  2. Farama-Foundation/Gymnasium · recommended 1×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. Robotics Transformer · recommended 1×
  5. rlworkgroup/metaworld · recommended 1×
  • CATEGORY QUERY
    How to achieve generalizable visuomotor policy learning for diverse robotic control tasks?
    you: not recommended
    AI recommended (in order):
    1. RLlib (ray-project/ray)
    2. Farama Foundation Gymnasium (Farama-Foundation/Gymnasium)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. Robotics Transformer
    5. Meta-World (rlworkgroup/metaworld)
    6. PyTorch Lightning (Lightning-AI/lightning)
    7. Acme (deepmind/acme)
    8. ROS (ros/ros)
    9. MoveIt! (ros-planning/moveit2)

    AI recommended 9 alternatives but never named YanjieZe/3D-Diffusion-Policy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable robust robotic imitation learning using 3D visual representations?
    you: not recommended
    AI recommended (in order):
    1. RLBench
    2. CoppeliaSim
    3. RoboStack
    4. NVIDIA Isaac Gym
    5. Isaac Sim
    6. PyTorch
    7. TensorFlow
    8. Acme
    9. DM Control Suite
    10. PyTorch Geometric
    11. DGL
    12. Open3D
    13. PCL
    14. RLlib
    15. Ray
    16. MuJoCo
    17. Gazebo
    18. Transformers

    AI recommended 18 alternatives but never named YanjieZe/3D-Diffusion-Policy. 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 YanjieZe/3D-Diffusion-Policy?
    pass
    AI named YanjieZe/3D-Diffusion-Policy explicitly

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

  • If a team adopts YanjieZe/3D-Diffusion-Policy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YanjieZe/3D-Diffusion-Policy 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 YanjieZe/3D-Diffusion-Policy solve, and who is the primary audience?
    pass
    AI did not name YanjieZe/3D-Diffusion-Policy — 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?

Embed your GEO score

Drop this badge into the README of YanjieZe/3D-Diffusion-Policy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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YanjieZe/3D-Diffusion-Policy — 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