Giter Club home page Giter Club logo

metalsplatter's Introduction

MetalSplatter

Render 3D Gaussian Splats using Metal on Apple platforms (iOS/iPhone/iPad, macOS, and visionOS/Vision Pro)

A greek-style bust of a woman made of metal, wearing aviator-style goggles while gazing toward colorful abstract metallic blobs floating in space

This is a Swift/Metal library for rendering scenes captured via the techniques described in 3D Gaussian Splatting for Real-Time Radiance Field Rendering. It will let you load up a PLY and visualize it on iOS, macOS, and visionOS (using amplification for rendering in stereo on Vision Pro). Modules include

  • MetalSplatter, the core library to render a frame
  • PLYIO, for reading binary or ASCII PLY files (not writing yet, despite the name); this is standalone, feel free to use it if you just have a hankering to load up some PLY files for some reason.
  • SplatIO, a thin layer on top of PLYIO to interpret these PLY files (as well as .splat files) as sets of splats
  • SampleApp, a mini app to demonstrate how to use the above (based on Apple template code) -- don't expect much, it's intentionally minimal, just an illustration
  • SampleBoxRenderer, a drop-in replacement for MetalSplatter for debugging integration, which just renders the cube from Apple Metal template

TODO

  • Support spherical harmonics
  • API documentation
  • Export in SplatIO/PLYIO, to help support editors
  • Explore possibilities for further performance optimizations. Mesh shaders? OIT? Who knows?

Documentation

You're right, the documentation is entirely missing; it's a major TODO list item. In the meantime, feel free to try out the sample app -- just, like I said, don't expect much.

  1. Get yourself a gaussian splat PLY (or .splat) file. a. Maybe download the scene data from the original paper or Polycam's gallery b. Or use Luma, Polycam to capture and train your own c. Go hardcode and train your own locally (here's a great tutorial).
  2. Clone the repo and open SampleApp/MetalSplatter_SampleApp.xcodeproj
  3. If you want to run on iOS/visionOS, select your target and set your development team and bundle ID in Signing & Capabilities. On macOS, just have at it.
  4. Set your scheme to Release mode. Loading large files in Debug is more than an order of magnitude slower.
  5. Run it

MetalSplatter Model Viewer

There's a simple, official MetalSplatter model viewer app based on this library, available on visionOS for Vision Pro (support for iOS/macOS is coming later). It's also called MetalSplatter, go figure.

Acknowledgements

There are no external dependencies; and the basic math to render gaussian splats is straightforward (the basic representation has been around for decades), so there are a lot of great references around and I drew on a lot of 'em to try and understand how it works; there's really very little new here, the recent innovations are about training, not rendering. Nonetheless, I pretty much made every mistake possible while implementing it, and the existance of these three implementations was invaluable to help see what I was doing wrong:

metalsplatter's People

Contributors

scier avatar kemchenj avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.