Version 0.1

Initial version of PyNIF3D.

Changelog:

• Added a decoupled structure for NIF-based inference and training
  • Sampling functionalities (ray/pixel/feature)
  • NIF model renderering with generic chunking
  • Aggregation functionalities to generate final pixel/occupancy
• Added dataset loaders:
  • LLFF
  • NeRF Blender
  • Deep Voxels
  • Shapes3D
  • DTU MVS
• Added algorithm pipelines:
  • Convolutional Occupancy Networks (CON)
  • Neural Radiance Fields (NeRF)
  • Implicit Differentiable Renderer (IDR)
• Added encoders:
  • Positional encoding
  • Fourier encoding
• Added pre-trained models
• Added generation of rays given camera matrix function
• Added generic layer generation with bias and weight initializers
• Added detailed logging structure through decorators
  • If the flag is set to DEBUG, the function inputs/outputs can be logged - this is expected to reduce the debugging duration
• Added explanatory exceptions and exception messages
• Added tutorials and sample scripts
• Added unit tests
• Added linter
• Added Sphinx configuration support
• Added Dockerfile and pip installation support
• Added comprehensible documentation to each function
• Added CI support