REPOGEO REPORT · LITE

yukangcao/Awesome-4D-Spatial-Intelligence

Default branch main · commit 1dcf2e7c · scanned 6/8/2026, 11:12:58 PM

GitHub: 503 stars · 25 forks

AI VISIBILITY SCORE

17 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

1 / 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 yukangcao/Awesome-4D-Spatial-Intelligence, 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 descriptive topics to improve categorization

Why:

COPY-PASTE FIX

awesome-list, 4d-spatial-intelligence, computer-vision, deep-learning, 3d-reconstruction, dynamic-scenes, motion-tracking, paper-list, research-papers, video-analysis

highreadme#2

Clarify repo type as 'awesome list' in README's first sentence

Why:

CURRENT

This repository collects summaries of over 500 recent studies on methods for reconstructing 4D spatial intelligence, and will be continuously updated.

COPY-PASTE FIX

This awesome list curates and summarizes over 500 recent research papers on methods for reconstructing 4D spatial intelligence from video, and will be continuously updated.

mediumlicense#3

Add a LICENSE file to clarify usage rights

Why:

COPY-PASTE FIX

Create a LICENSE file in the repository root with the text for the Creative Commons Attribution 4.0 International License (CC-BY-4.0), which is suitable for curated lists of content.

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 yukangcao/Awesome-4D-Spatial-Intelligence

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

nerfstudio-project/nerfstudio

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

nerfstudio-project/nerfstudio · recommended 1×
NVlabs/instant-ngp · recommended 1×
apchen-nlp/TensoRF · recommended 1×
colmap/colmap · recommended 1×
cdcseacave/openMVS · recommended 1×

CATEGORY QUERY
How to reconstruct dynamic 3D scenes and motion from video sequences?
you: not recommended
AI recommended (in order):
1. Nerfstudio (nerfstudio-project/nerfstudio)
2. Instant NGP (NVlabs/instant-ngp)
3. TensoRF (apchen-nlp/TensoRF)
4. COLMAP (colmap/colmap)
5. OpenMVS (cdcseacave/openMVS)
6. AliceVision (Meshroom) (alicevision/AliceVision)
7. ORB-SLAM3 (UZ-SLAM/ORB_SLAM3)
8. DP-SLAM (Dynamic-SLAM) (yanyan-li/DP-SLAM)
9. SCENE-FLOW-NET (Jiaolong/SCENE-FLOW-NET)
10. PointFlow (yifita/PointFlow)
11. OpenPose (CMU-Perceptual-Computing-Lab/openpose)
12. AlphaPose (MVIG-SJTU/AlphaPose)
13. VIBE (Video Inference for Body Pose and Shape Estimation) (mkocabas/VIBE)
AI recommended 13 alternatives but never named yukangcao/Awesome-4D-Spatial-Intelligence. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find research papers on 4D scene understanding and reconstruction?
you: not recommended
AI recommended (in order):
1. arXiv.org
2. Google Scholar
3. CVPR
4. IEEE Xplore
5. ICCV
6. ECCV
7. NeurIPS
8. TPAMI
9. IJCV
AI recommended 9 alternatives but never named yukangcao/Awesome-4D-Spatial-Intelligence. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
fail
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 yukangcao/Awesome-4D-Spatial-Intelligence?
pass
AI did not name yukangcao/Awesome-4D-Spatial-Intelligence — 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 yukangcao/Awesome-4D-Spatial-Intelligence in production, what risks or prerequisites should they evaluate first?
pass
AI named yukangcao/Awesome-4D-Spatial-Intelligence 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 yukangcao/Awesome-4D-Spatial-Intelligence solve, and who is the primary audience?
pass
AI did not name yukangcao/Awesome-4D-Spatial-Intelligence — 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

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MARKDOWN (README)

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yukangcao/Awesome-4D-Spatial-Intelligence — 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