nerfboost 0.0.3

A CUDA-enhanced package for common NeRF model operations

nerfboost

nerfboost is a CUDA-accelerated Python package that enhances common operations required for Neural Radiance Fields (NeRF) models. It provides high-performance implementations of key functions such as positional encoding, stratified sampling, volume rendering, and more, to accelerate NeRF training and rendering.

Features

• CUDA-accelerated functions for efficient neural rendering tasks.
• Implements key operations for NeRF models like:
  • Positional encoding
  • Stratified, uniform, and hierarchical sampling
  • Volume rendering
  • MLP network processing
  • Rendering loss computation
• Easy integration with PyTorch using custom CUDA kernels.

Installation

You can install nerfboost using the following command:

pip install nerfboost

Author

Akshay Pappu