REPOGEO REPORT · LITE
MrNeRF/awesome-3D-gaussian-splatting
Default branch main · commit 461868a5 · scanned 6/25/2026, 1:07:41 AM
GitHub: 8,711 stars · 538 forks
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.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 MrNeRF/awesome-3D-gaussian-splatting, 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.
- hightopics#1Add 'awesome-list', 'papers', and 'resources' to repository topics
Why:
CURRENT3d-gaussian-splatting, 3dgs, gaussian-splatting, nerf, neural-rendering
COPY-PASTE FIX3d-gaussian-splatting, 3dgs, gaussian-splatting, nerf, neural-rendering, awesome-list, papers, resources
- mediumreadme#2Refine the README's opening sentence to emphasize its utility for discovery
Why:
CURRENTA curated collection of resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
COPY-PASTE FIXA central, curated hub for discovering papers, implementations, and resources focused on 3D Gaussian Splatting (3DGS) and related technologies.
- lowhomepage#3Add the repository URL as the homepage
Why:
COPY-PASTE FIXhttps://github.com/MrNeRF/awesome-3D-gaussian-splatting
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.
- Awesome Neural Rendering · recommended 1×
- arXiv · recommended 1×
- Google Scholar · recommended 1×
- Foundations and Trends® in Computer Graphics and Vision · recommended 1×
- SIGGRAPH · recommended 1×
- CATEGORY QUERYWhere can I find comprehensive research papers and learning materials on neural rendering techniques?you: not recommendedAI recommended (in order):
- Awesome Neural Rendering
- arXiv
- Google Scholar
- Foundations and Trends® in Computer Graphics and Vision
- SIGGRAPH
- SIGGRAPH Asia
- ACM Digital Library
- YouTube
- Stanford CS231N
- CMU 15-462
- OpenReview
AI recommended 11 alternatives but never named MrNeRF/awesome-3D-gaussian-splatting. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for open-source implementations and tools for efficient 3D reconstruction from images.you: not recommendedAI recommended (in order):
- COLMAP (colmap/colmap)
- OpenMVS (cdcseacave/openMVS)
- Meshroom (alicevision/meshroom)
- OpenSfM (mapillary/OpenSfM)
- MVE (simonfuhrmann/mve)
- Theia Structure from Motion Library (sweeneychris/TheiaSfM)
- VisualSFM
AI recommended 7 alternatives but never named MrNeRF/awesome-3D-gaussian-splatting. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 MrNeRF/awesome-3D-gaussian-splatting?passAI did not name MrNeRF/awesome-3D-gaussian-splatting — 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 MrNeRF/awesome-3D-gaussian-splatting in production, what risks or prerequisites should they evaluate first?passAI named MrNeRF/awesome-3D-gaussian-splatting 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 MrNeRF/awesome-3D-gaussian-splatting solve, and who is the primary audience?passAI did not name MrNeRF/awesome-3D-gaussian-splatting — 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 MrNeRF/awesome-3D-gaussian-splatting. 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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MrNeRF/awesome-3D-gaussian-splatting — 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