RRepoGEO

REPOGEO REPORT · LITE

yangjiheng/nerf_and_beyond_docs

Default branch main · commit 2b15f7b3 · scanned 6/19/2026, 12:07:51 AM

GitHub: 1,166 stars · 51 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
10 /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
0 / 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 yangjiheng/nerf_and_beyond_docs, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A curated collection of papers, documentation, and learning resources for NeRF (Neural Radiance Fields) and 3D Gaussian Splatting (3DGS) and related 3D vision topics.
  • hightopics#2
    Add relevant topics for better categorization

    Why:

    COPY-PASTE FIX
    nerf, neural-radiance-fields, 3d-gaussian-splatting, 3dgs, computer-vision, computer-graphics, learning-resources, documentation, papers, research
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 yangjiheng/nerf_and_beyond_docs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome NeRF
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome NeRF · recommended 1×
  2. Awesome 3D Gaussian Splatting · recommended 1×
  3. arXiv · recommended 1×
  4. Papers With Code · recommended 1×
  5. NeRF Studio · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of papers and resources on NeRF and 3DGS?
    you: not recommended
    AI recommended (in order):
    1. Awesome NeRF
    2. Awesome 3D Gaussian Splatting
    3. arXiv
    4. Papers With Code
    5. NeRF Studio
    6. Twitter (X)
    7. LinkedIn

    AI recommended 7 alternatives but never named yangjiheng/nerf_and_beyond_docs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need to understand NeRF and 3DGS; what are good learning resources and documentation?
    you: not recommended
    AI recommended (in order):
    1. NeRF Studio (nerfstudio-project/nerfstudio)
    2. Kornia Academy
    3. Two Minute Papers
    4. The AI Epiphany
    5. Yannic Kilcher
    6. Awesome-NeRF (awesome-neural-radiance-fields/awesome-nerf)
    7. Luma AI

    AI recommended 7 alternatives but never named yangjiheng/nerf_and_beyond_docs. 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 yangjiheng/nerf_and_beyond_docs?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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 yangjiheng/nerf_and_beyond_docs in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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?

  • In one sentence, what problem does the repo yangjiheng/nerf_and_beyond_docs solve, and who is the primary audience?
    pass
    AI did not name yangjiheng/nerf_and_beyond_docs — 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?

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yangjiheng/nerf_and_beyond_docs — 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