benjamin-feldman

benjamin-feldman / 3dgs-weekend

Public

3D Gaussian Splatting in a Weekend tutorial

19
2
100% credibility
Found May 19, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

This is an educational tutorial project that teaches you to build a viewer for 3D Gaussian Splatting scenes. Gaussian Splatting is a modern technique that captures real-world scenes as clouds of colorful light points, allowing photorealistic 3D reconstruction. The project provides complete source code that loads special 3D scene files and renders them interactively. Users can navigate through scenes using keyboard controls (WASD to move, Q/E to go up/down) and mouse controls (drag to look around, scroll to zoom). There's also a helper script that reduces the complexity of large scenes so they run faster on your computer. The tutorial is designed to be completed in a weekend and includes everything you need to get started with this cutting-edge 3D technology.

How It Works

1
💡 You discover 3D Gaussian Splatting

You've heard about this exciting new way to capture and view real-world scenes as magical clouds of colorful light points.

2
📚 You find the tutorial

You stumble upon a weekend tutorial that promises to teach you how to build your own viewer for these 3D scenes from scratch.

3
🛠️ You set up your tools

You install a few basic graphics tools on your computer - the tutorial makes this easy with simple instructions.

4
🔨 You build your viewer

With one simple command, your computer compiles all the code and creates a working program that can display 3D scenes.

5
🎬 You load a 3D scene

You point your new program at a special file containing a beautiful 3D scene - like tomatoes or a real room captured in detail.

6
🚀 You explore the scene

Using your keyboard and mouse, you fly through the 3D world - walking forward, looking around, zooming in on details.

🎉 You've learned something amazing

In just one weekend, you went from curious beginner to someone who understands how 3D Gaussian Splatting actually works.

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AI-Generated Review

What is 3dgs-weekend?

A single-file 3D Gaussian Splatting viewer written in C/C++ that lets you orbit around pre-rendered scene data stored in binary PLY files. The program loads GraphDeCo-style splat scenes, sorts translucent Gaussians back-to-front each frame, and renders them using instanced OpenGL draw calls. You control the camera with WASD, Q/E for vertical movement, arrow keys to look around, and mouse drag to orbit. A companion Python script lets you downsample large splat scenes by importance, keeping the top N Gaussians by an opacity-times-scale heuristic.

Why is it gaining traction?

3DGS is exploding in computer vision and graphics circles, but most implementations are complex research codebases. This project strips things down to a single readable program that fits in your head. The tutorial explicitly teaches you how the rendering pipeline works rather than hiding it behind abstraction layers. The downsampling utility solves a real pain point: production splat scenes can run into millions of Gaussians, and pruning them intelligently makes interactive viewing feasible on modest hardware.

Who should use this?

Graphics developers learning 3DGS who want to see the full rendering pipeline in one place. Researchers prototyping splat-based viewers who need something to compare against. Anyone evaluating whether Gaussian splatting fits their workflow and wants a lightweight test bed before committing to larger frameworks. Not suitable for production use cases that need cross-platform packaging, mobile support, or scene processing beyond viewing.

Verdict

Good learning resource, weak production candidate. The 1.0% credibility score reflects real limitations: 19 stars, minimal documentation, no tests, and a single-author project with no active maintenance. If you want to understand how 3DGS viewers work under the hood, this is one of the most approachable entry points available. If you need a viewer for end users, look elsewhere.

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