kwea123/ngp_pl
A PyTorch implementation of Instant-NGP for neural radiance field (NeRF) 3D reconstruction and novel view synthesis.
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This repository implements the Instant Neural Graphics Primitives (Instant-NGP) algorithm for Neural Radiance Fields (NeRF) using PyTorch and CUDA. It leverages PyTorch Lightning to train neural networks that represent 3D scenes and generate novel viewpoints from sparse input images. The project provides a concise interface for research purposes, achieving high-quality 3D reconstructions at high speed.
Frequently asked
- What is kwea123/ngp_pl?
- A PyTorch implementation of Instant-NGP for neural radiance field (NeRF) 3D reconstruction and novel view synthesis.
- Is ngp_pl open source?
- Yes — kwea123/ngp_pl is open source, released under the MIT license.
- What language is ngp_pl written in?
- kwea123/ngp_pl is primarily written in Jupyter Notebook.
- How popular is ngp_pl?
- kwea123/ngp_pl has 1.3k stars on GitHub.
- Where can I find ngp_pl?
- kwea123/ngp_pl is on GitHub at https://github.com/kwea123/ngp_pl.