cNeRF
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A concise C++ implementation of Neural Radiance Fields (NeRF) using LibTorch.
cNeRF
A concise C++ implementation of Neural Radiance Fields (NeRF) using LibTorch.
Overview
This project provides a minimal implementation of Neural Radiance Fields (NERF), a method for synthesizing novel views of complex scenes using neural inverse modelling. The code is written in C++ and utilizes LibTorch for automatic differentiation.
Dependencies
- LibTorch (>= 2.0.0)
- CUDA (>= 11.7, optional)
Installation
- Download and install LibTorch (>= 2.0.0)
- If you place LibTorch in the project root directory, no additional configuration is required. Alternatively, you can install LibTorch locally and update the CMakeLists.txt file with the appropriate path.
- Build the project using CMake:
mkdir build
cd build
cmake ..
make
Usage
After building the project, run the executable with the appropriate command-line arguments to specify the data and output directories:
./cNeRF /path/to/data /path/to/output
Acknowledgements
This implementation is based on the original NeRF repository by Mildenhall et al. We thank the authors for their valuable research and open-source code.
License
This project is licensed under the MIT License.