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Splatwizard documentation

Getting Start

  • Installation
  • Prepare Dataset
  • Train Your First 3DGS model
  • FAQ

Tutorial

  • Define a GS Model
  • Common Configuration
  • Use Mixins
  • Use new model
  • Use images without SfM
  • Extract mesh from 3DGS

Library API

  • Rasterizer
  • Metrics

Model Zoo

  • Model List
    • 3D Gaussian Splatting
    • Speedy-Splat
    • TTF
    • LightGaussian
    • PUP-3DGS
    • Compressed 3DGS
    • Compact 3DGS
    • ControlGS
    • HAC
    • CAT-3DGS
    • MesonGS
    • 2D Gaussian Splatting
  • Repository
  • Suggest edit
  • Open issue
  • .md

Prepare Dataset

Prepare Dataset#

Splatwizard supports common 3DGS datasets without requiring additional adjustments. Below are the links for commonly used datasets.

  • Mip-NeRF360 Download

  • BungeeNeRF Google Drive/百度网盘[提取码:4whv].

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Train Your First 3DGS model

By Splatwizard dev team

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