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Getting Started

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

Extensions

  • Blender VFX add-on
  • Exporting to Unreal Engine
  • SDFStudio

NeRFology

  • Methods
    • NeRF
    • Mip-NeRF
    • Nerfacto
    • Instant-NGP
    • Semantic NeRF-W
  • Model components
    • Cameras models
    • Sample representation
    • Ray samplers
    • Spatial distortions
    • Encoders

Developer Guides

  • Pipelines overview
    • DataParsers
    • DataManagers
    • Models
    • Fields
    • Pipelines
  • Viewer overview
  • Customizable configs
  • Debugging tools
    • Local writer
    • Code profiling support
    • Benchmarking workflow

Reference

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

It can be difficult getting started with NeRFs. The research field is still quite new and most of the key nuggets are buried in academic papers. For this reason, we have consolidated many of the key concepts into a series of guides.

  • Cameras models
  • Sample representation
  • Ray samplers
  • Spatial distortions
  • Encoders
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Camera Models
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Semantic NeRF-W
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