I am in the process of developing a Neural Radiance Fields (NeRF) model from the ground up, inspired by the pivotal paper on NeRF available at arxiv.org/abs/2003.08934. This project is driven by my passion for cutting-edge technologies in robotics and 3D reconstruction, leveraging CUDA for accelerated computing to significantly enhance the model's performance. The objective is to create highly detailed and photorealistic 3D models from a set of 2D images, a capability critical for robotic vision and navigation systems.
The implementation involves:
- Designing a custom dataset loader for efficiently handling and preprocessing input images.
- Utilizing CUDA for parallel computation, enabling rapid processing of large datasets.
- Applying advanced machine learning techniques, including positional encoding and ray tracing algorithms, to capture the intricate details of 3D scenes.
- Integration with PyTorch for dynamic computational graph generation and backpropagation.
In-Progress
CUDA
PyTorch
3D Reconstruction
Robotics
