ashawkey/torch-ngp
PyTorch/CUDA implementation of instant-ngp for real-time neural radiance field (NeRF) rendering with GUI.
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A PyTorch CUDA extension implementing instant-ngp’s grid encoder and ray sampling for NeRF and SDF reconstruction. It also includes TensoRF, CCNeRF, and D-NeRF implementations adapted to instant-ngp’s framework. Features a GUI for interactive training and visualization of static and dynamic 3D scenes.
Frequently asked
- What is ashawkey/torch-ngp?
- PyTorch/CUDA implementation of instant-ngp for real-time neural radiance field (NeRF) rendering with GUI.
- Is torch-ngp open source?
- Yes — ashawkey/torch-ngp is open source, released under the MIT license.
- What language is torch-ngp written in?
- ashawkey/torch-ngp is primarily written in Python.
- How popular is torch-ngp?
- ashawkey/torch-ngp has 2.2k stars on GitHub.
- Where can I find torch-ngp?
- ashawkey/torch-ngp is on GitHub at https://github.com/ashawkey/torch-ngp.