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Getting Started

  • Installation
  • Training your first model
  • Using existing data
  • Using custom data
  • Using the viewer
  • Export geometry
  • Data conventions
  • Contributing

Extensions

  • Blender VFX add-on
  • Autodesk Maya Plug-in
  • Exporting to Unreal Engine
  • SDFStudio

NeRFology

  • Methods
    • Instant-NGP
    • Splatfacto
    • Splatfacto-W
    • Instruct-NeRF2NeRF
    • Instruct-GS2GS
    • SIGNeRF
    • K-Planes
    • LERF
    • Feature-Splatting
    • Mip-NeRF
    • NeRF
    • Nerfacto
    • Nerfbusters
    • NeRFPlayer
    • Tetra-NeRF
    • TensoRF
    • Generfacto
    • PyNeRF
    • SeaThru-NeRF
    • Zip-NeRF
    • BioNeRF
    • NeRFtoGSandBack
    • OpenNeRF
  • Model components
    • Cameras models
    • Sample representation
    • Ray samplers
    • Spatial distortions
    • Encoders

Developer Guides

  • Adding a New Method
  • Pipelines overview
    • DataParsers
      • Data Parsers
    • DataManagers
    • Models
    • Fields
    • Pipelines
  • Viewer
    • Custom GUI
    • Python Viewer Control
    • (Legacy Viewer) Local Server
  • Customizable configs
  • Debugging tools
    • Local writer
    • Code profiling support
    • Benchmarking workflow

Reference

  • CLI
    • ns-install-cli
    • ns-process-data
    • ns-download-data
    • ns-train
    • ns-render
    • ns-viewer
    • ns-export
    • ns-eval
  • API
    • Cameras
    • Configs
    • Data
      • Data Parsers
      • Datamanagers
      • Datasets
      • Utils
    • Fields
    • Field Modules
      • Encodings
      • Embeddings
      • Field Heads
      • MLP
      • Spatial Distortions
    • Models
    • Model components
      • Ray Sampler
      • Losses
      • Renderers
    • Engine
    • Plugins
    • Utils
      • Colors
      • Math
      • Colormaps
      • TensorDataclass
    • Viewer
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