kwea123/nerf_pl
PyTorch implementation of NeRF (Neural Radiance Fields) for neural rendering and 3D scene reconstruction.
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This repository provides a PyTorch/PyTorch Lightning implementation of Neural Radiance Fields (NeRF), a technique that uses neural networks to represent and render 3D scenes from 2D images. It includes multi-GPU training support, mesh reconstruction capabilities, and also implements NeRF-W (NeRF in the Wild) for handling unconstrained photo collections with transient elements and lighting variations.
Frequently asked
- What is kwea123/nerf_pl?
- PyTorch implementation of NeRF (Neural Radiance Fields) for neural rendering and 3D scene reconstruction.
- Is nerf_pl open source?
- Yes — kwea123/nerf_pl is open source, released under the MIT license.
- What language is nerf_pl written in?
- kwea123/nerf_pl is primarily written in Jupyter Notebook.
- How popular is nerf_pl?
- kwea123/nerf_pl has 2.8k stars on GitHub.
- Where can I find nerf_pl?
- kwea123/nerf_pl is on GitHub at https://github.com/kwea123/nerf_pl.