kwea123/ngp_pl

Health v2 · maintenance only

Adoption not part of the score

1286 stars · 150 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch + CUDA implementation of NVIDIA's Instant-NGP focused on NeRF, trained with PyTorch Lightning for fast, high-quality neural radiance field rendering. It provides a concise, legible codebase intended to facilitate research on NeRF methods.

Use cases

• train instant-ngp nerf models in pytorch
• novel view synthesis from photos
• 3d scene reconstruction from images
• research codebase for nerf experiments
• fast nerf training on a single gpu
• render synthetic nerf datasets like blender and tanks and temples

When to choose

• you want a readable pytorch version of instant-ngp for research
• you need fast nerf training with pytorch-lightning on linux with an RTX gpu
• you want to modify or extend NeRF internals with few lines of code

When to avoid

• you are on Windows or macOS since only Ubuntu 20.04 is supported
• you need a maintained production tool - the author recommends nerfstudio instead
• you lack an NVIDIA GPU with compute capability >= 7.5 and CUDA 11.3

Facets

library · maturity maintenance

machine-learning deep-learning graphics simulation computer-vision graphics machine-learning deep-learning python nerf instant-ngp pytorch-lightning novel-view-synthesis 3d-reconstruction neural-rendering linux gpu cuda

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