Awesome-Gaussian-Skills
by jaccen
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. 700+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible.
118stars
9forks
HTML
Added 6/13/2026
AI Agents3d-gaussian-splatting3d-reconstruction3dgsai-agentai-skillsclaude-codecomputer-graphicscvprgaussian-splattingnerfneural-renderingnovel-view-synthesisopenclawpoint-cloudresearch-toolssiggraph
Installation
# Add to your Claude Code skills
git clone https://github.com/jaccen/Awesome-Gaussian-SkillsGetting Started
Guides for using ai agents skills like Awesome-Gaussian-Skills.
- Caveman: Cut Claude Token Use by 65%How agent-side prompt compression works, when to use it, and when not to.
- What is an AI Skills Marketplace?Definitions, how marketplaces work, and how to choose between them in 2026.
- Getting Started with AI SkillsFirst-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
Security ReportVerified
Last scanned: 6/13/2026
{
"issues": [
{
"file": "README.md",
"line": 199,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -sSL https://raw.githubusercontent.com/jaccen/Awesome-Gaussian-Skills/main/\"",
"severity": "low"
}
],
"status": "PASSED",
"scannedAt": "2026-06-13T07:46:57.446Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}Awesome Gaussian Skills
The Most Comprehensive 3D Gaussian Splatting Catalog — 739+ Methods, 25 Categories, Interactive Explorer
You shouldn't search 20 repos for 3DGS papers. This is the only one you need.
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: search, filter, sort |
| Compare methods | Open 2 papers side by side | 10+ dimension auto-comparison |
| Avoid code bugs | Discover after submission | 101+ known bug pattern detection |
| Design experiments | Guess baselines & ablations | Venue-tailored experiment plan |
| NeRF → 3DGS | Trial-and-error porting | Step-by-step migration guide |
| CAD ↔ 3DGS | No coverage | 35+ method conversion pipeline |
| Patent filing | Manual from scratch | Auto-generated claims & specs |
Live Demo
Try the Interactive Method Explorer →
Search 739+ methods instantly, filter by category, sort by citations, click any method card for details.
What's New (July 2026)
Latest update (Jul 9): v0.4.1 — ECCV & ISCA 2026 Wave. +739 methods. New additions: Flux-GS (ECCV 2026), Provable Pruning via Coresets, AnchorSplat (ECCV 2026), ASSEMCAD (ECCV 2026), WildSplat (ECCV 2026), NoDrift3R (ECCV 2026), Axis-Shared Rasterization Accelerator (ISCA 2026). Previous (Jul 2): v0.4.0 Router Architecture Expansion — cg-paper-writing + 3dgs-engineering-guide → Router + manifest.yaml + static/. 3dgs-code-reviewer v2.0.0 Self-Check Loop. 3 Router skills total, all 13 skills with anti-hallucination guardrails, 6 with Red Lines.
| Method | Venue | Category | One-Line Innovation |
|---|---|---|---|
| Proxy-GS | CVPR 2026 Oral | Acceleration | Lightweight proxy model for 2.5x speedup with no accuracy loss |
| Z-Order GS | CVPR 2026 Oral | Feed-Forward | Z-order Morton curve + sparse attention O(N²)→O(N log N) |
| 3DReflecNet | CVPR 2026 Best Paper Candidate | Cross-Domain | 120K+ objects, 48 material combos, 3 failure modes |
| Flux-GS | ECCV 2026 | Acceleration | Flux-based Gaussian splatting for real-time rendering |
| AnchorSplat | ECCV 2026 | Optimization | Anchor-driven splatting with efficient density control |
| ASSEMCAD | ECCV 2026 | CAD | Assembly-aware CAD reconstruction from 3DGS |
| WildSplat | ECCV 2026 | Robustness | In-the-wild scene reconstruction with transient object removal |
| NoDrift3R | ECCV 2026 | SLAM | Drift-free dense 3D reconstruction via point map regression |
| Axis-Shared Rasterization Accelerator | ISCA 2026 | Acceleration | Hardware accelerator with axis-shared tiled rasterization |
| Prune Wisely | — | Optimization | 90% Gaussian pruning via DoG importance criterion |
| Provable Pruning via Coresets | — | Optimization | Coreset-based provable Gaussian pruning with bounded error |
| StreamLoD-GS | — | Streaming | LoD-based progressive streaming with view-dependent quality |
| CADDreamer | CVPR 2025 Highlight | CAD | Text/sketch → CAD B-rep generation |
Full changelog: changelog/
Quick Start
Each skill is a standalone SKILL.md file — copy it to your Agent's skills directory.
3 commands to your first AI-powered 3DGS workflow:
git clone https://github.com/jaccen/Awesome-Gaussian-Skills.git
# Option 1: Claude Code
cp -r Awesome-Gaussian-Skills/skills/* .claude/
# Option 2: Cursor
cp -r Awesome-Gaussian-Skills/skills/* .cursor/rules/
# Option 3: One-Click Install
curl -sSL https://raw.githubusercontent.com/jaccen/Awesome-Gaussian-Skills/main/scripts/setup.sh | bash
Then ask your Agent: "Compare 3DGS and 2DGS rendering formulations"
Knowledge Base (739+ Methods, 25 Categories)
| Group | Categories | Key Topics |
|---|---|---|
| Core Representations | Foundation, Antialiasing, Optimization, Surface/Rendering, Image Rep. | 3DGS, 2DGS, Scaffold-GS, Mip-Splatting, GaussianImage |
| Efficiency & Scale | Compression, Acceleration, Large-Scale, Feed-Forward | Compact-3DGS, BlitzGS, HiGS, VEDAL, VG²GT |
| Understanding & Semantics | Language/Semantic, Generation, Autonomous Driving | LangSplat, DreamGaussian, StreetNVS |
| Dynamic & Spatial | Dynamic, HDR, SLAM, Sparse-View, Spatial Intelligence | DSD-GS, WebSpline, GGD-SLAM, Holi-Spatial, Spatial-TTT |
| Applications | Human/Avatar, Editing, Relighting, CAD, Cross-Domain, Simulation, Robotics, +14 more | AlbedoEdit, KDH-CAD, LEGS, TIDES, 3DEditSafe |
Download full database: CSV | Full analysis: references/3dgs-methods-overview.md
Core Representations
| Category | Description | Methods |
|---|---|---|
| Foundation | Core 3DGS representations and basic variants | 3DGS, 2DGS, Scaffold-GS, Scaffold-GS+, Mip-Splatting, 3DGEER, SNS |
| Antialiasing | Anti-aliasing and frequency-aware rendering | Mip-Splatting, LeanGaussian |
| Optimization | Training objectives, density control, and convergence | 3DGS-as-MCMC, 3DGS², AdpSplit, Denoising-GS |
| Surface / Rendering | Rendering formulation innovation (OIT, RBF, etc.) | SparseOIT, View-Dependent Splatting, Gaussian Surfel Rendering |
| Image Representation | Image-level Gaussian encoding | GaussianImage |
Efficiency & Scale
| Category | Description | Methods |
|---|---|---|
| Compression / Streaming | Lightweight, mobile, and progressive streaming | Compact-3DGS, LightGS, MobileGS, Embedded-3DGS, NanoGS |
| Acceleration | Training and inference speedup | FastGS, Proxy-GS, Faster-GS, GEMM-GS, AV1-3DGS, BlitzGS |
| Large-Scale | City-scale and distributed scene management | BlitzGS |
| Feed-Forward | Single-forward-pass generalizable reconstruction | Z-Order GS, RoSplat, SplatWeaver, AdaptSplat, VolSplat, VG²GT |
Understanding & Semantics
| Category | Description | Methods |
|---|---|---|
| Language / Semantic | Open-vocabulary 3D understanding and language fields | LangSplat, Feature 3DGS, Semantic Foam, ReferSplat, Gaga |
| Generation / Text-to-3D | Text/condition-driven 3D generation | DreamGaussian, SceneGen-LLMRL, PanoWorld, MORPHOS |
| Autonomous Driving | Driving scene reconstruction and simulation | Real2Sim, ConFixGS, P2GS, GEM, StreetNVS |
Dynamic & Spatial
| Category | Description | Methods |
|---|---|---|
| Dynamic | 4D Gaussians, temporal deformation, and propagation | ParticleGS, 3DGS³, Velox, WebSpline |
| HDR / Dynamic | HDR capture and time-varying illumination | HDR-NSFF, FreeTimeGS++ |
| SLAM | Simultaneous localization and mapping | GaussianSplatting-SLAM-v2, GS-Map-SLAM, 2DGS-SLAM, MAGS-SLAM, ULF-Loc, GGD-SLAM |
| Sparse-View | Few-shot and sparse-view reconstruction | FrameTwin, GeoQuery, VidSplat, PanoPlane |
| Spatial Intelligence & World Model | 3D spatial reasoning, world modeling, neuro-symbolic | Holi-Spatial, Spatial-TTT, OpenSpatial, APEIRIA, S2AM3D |
Applications & Cross-Domain
| Category | Description | Methods |
|---|---|---|
| Human / Avatar | Animatable human and avatar reconstruction | GaussianAvatar, SplattingAvatar, HairGPT, ArtMesh |
| Editing | Interactive and text-guided scene editing | GaussianEditor, Frosting, AlbedoEdit, TransSplat |
| Relighting | Relightable and material-aware Gaussians | Relightable-GS-VP, Ambient-Robust IR |
| CAD | CAD model fitting and reverse engineering | CADFit, KDH-CAD, CADDreamer, Zero-to-CAD |
| Cross-Domain | Multi-modal fusion and out-of-domain transfer | GS-DOT, DiffSoup, LagrangianSplats, SurfFill |
| Simulation | Physics simulation and surrogate models | GS-Playground, GS-Surrogate, FieryGS |
| Embodied AI / Robotics | Grasping, manipulation, navigation, sim-to-real | GaussianGrasper, GraspSplats, LEGS, RoboSplat |
| Articulated / Digital Twin | Articulated object interaction and digital twin | ArtiTwinSplat |
| Robustness | In-the-wild and degradation-robust reconstruction | NRGS, DualSplat, HarmoGS |
| Security | Watermarking, copyright, forgery detection | RDSplat, GuardMarkGS, 3DEditSafe |
| World Model | 3DGS world models and scene prediction | MRO-GWM |
| Event Camera | Event camera-driven 3DGS | TIDES |
13 AI-Powered Skills
| # | Skill | What It Does | Example |
|---|---|---|---|
| 1 | 3dgs-paper-reader |
Read any 3DGS paper, extract structured insights | "帮我读一下 2401.01345" |
| 2 | 3dgs-method-compare |
Compare variants across 10+ dimensions | "对比 3DGS 和 2DGS 的渲染公式差异" |
| 3 | 3dgs-code-reviewer |
Frequently Asked Questions
What is Awesome-Gaussian-Skills?
Awesome-Gaussian-Skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by jaccen. 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. 700+ methods, 25categories, 12skills. OpenClaw / Claude Code compatible. It has 118 GitHub stars.
Is Awesome-Gaussian-Skills safe to use?
Yes. Awesome-Gaussian-Skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
How do I install Awesome-Gaussian-Skills?
Clone the repository with "git clone https://github.com/jaccen/Awesome-Gaussian-Skills" and add it to your Claude Code skills directory (see the Installation section above).
What programming language is Awesome-Gaussian-Skills written in?
Awesome-Gaussian-Skills is primarily written in HTML. It is open-source under jaccen on GitHub, so you can review or fork the full source.
Are there alternatives to Awesome-Gaussian-Skills?
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Awesome-Gaussian-Skills against similar tools.
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