Awesome-Gaussian-Skills MCP Server
jaccen/Awesome-Gaussian-Skills
[](https://agentrank-ai.com/tool/jaccen--Awesome-Gaussian-Skills/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) 图形学与3DGS、空间智能持续更新论文;AI Agent Skills for 3D Gaussian Splatting, NeRF & Computer Graphics Research. 800+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
jaccen/Awesome-Gaussian-Skills is a HTML tool licensed under Apache-2.0. 图形学与3DGS、空间智能持续更新论文;AI Agent Skills for 3D Gaussian Splatting, NeRF & Computer Graphics Research. 800+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible. Topics: 3d-gaussian-splatting, 3d-reconstruction, ai-agent, claude-code, computer-graphics, neural-rendering, openclaw, 3dgs, ai-skills, cvpr, gaussian-splatting, nerf, novel-view-synthesis, point-cloud, research-tools, siggraph, arxiv, gaussian-splattings, mcp-server.
Ranked #3335 out of 24846 indexed tools.
Ecosystem
Score Breakdown
161 stars → growing community
Last commit 1mo ago → recently updated
1/2 issues closed → decent issue management
3 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<div align="center"> # Awesome Gaussian Skills ### The Most Comprehensive 3D Gaussian Splatting Catalog — 881 methods, 23 Categories, Interactive Explorer **You shouldn't search 20 repos for 3DGS papers. This is the only one you need.** [English](README.md) | [中文](README_CN.md) </div> ## Why This Repo? Other awesome lists give you paper titles. **We give you paper titles + an AI toolkit that makes you faster.** | What You Need | Other Lists | This Repo | |---------------|-------------|-----------| | Browse papers | Static markdown table | [Interactive explorer](https://jaccen.github.io/Awesome-Gaussian-Skills/): search, filter, sort | | Compare methods | Open 2 papers side by side | 10+ dimension auto-comparison | | Avoid code bugs | Discover after submission | 104 known bug pattern detection | | Design experiments | Guess baselines & ablations | Venue-tailored experiment plan | | NeRF → 3DGS | Trial-and-error porting | Step-by-step migRead full README on GitHub →
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