NVIDIAGameWorks/kaolin-wisp
A PyTorch library for neural field research providing building blocks for NeRFs, instant-ngp, and related neural rendering models.
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NVIDIA Kaolin Wisp is a research library built on PyTorch for working with neural fields including NeRFs, NGLOD, instant-ngp, and VQAD. It provides dataset utilities, ray tracing functions, differentiable renderers, and data structures like octrees and hash grids. The library targets researchers building complex neural field systems with tools for visualization, training loops, and interactive rendering.
Frequently asked
- What is NVIDIAGameWorks/kaolin-wisp?
- A PyTorch library for neural field research providing building blocks for NeRFs, instant-ngp, and related neural rendering models.
- Is kaolin-wisp open source?
- Yes — NVIDIAGameWorks/kaolin-wisp is an open-source project tracked on heatdrop.
- What language is kaolin-wisp written in?
- NVIDIAGameWorks/kaolin-wisp is primarily written in Python.
- How popular is kaolin-wisp?
- NVIDIAGameWorks/kaolin-wisp has 1.5k stars on GitHub.
- Where can I find kaolin-wisp?
- NVIDIAGameWorks/kaolin-wisp is on GitHub at https://github.com/NVIDIAGameWorks/kaolin-wisp.