This repository provides code to integrate the K-Planes model into nerfstudio.

It provides an alternative way to use k-planes in addition to the official repository, which allows access to nerfstudio's in-browser viewer and additional training capabilities. Beware that some details about the training procedure differ from the official repository.

1. Install nerfstudio. This is pip install nerfstudio, but there are a few dependencies (e.g. torch, tinycudann) which may require further steps, so make sure to check their installation guide!
2. Install the k-planes nerfstudio integration (this repository): pip install kplanes-nerfstudio

Two models are included here:

• kplanes which is tuned for the Synthetic NeRF dataset (i.e. chair, drums, etc.)
• kplanes-dynamic which is tuned to the DNeRF dataset (dynamic, monocular video).

❗ PRs are welcome for configurations tuned to different datasets ❗

You can run the static model by calling (remember to use the correct data directory!)

ns-train kplanes --data <data-folder>

and connect to the viewer using the link provided in the output of the training script.

Synthetic NeRF (hybrid model)

DNeRF (hybrid model)

Expected future updates to this repository:

• Including all datasets used in the K-Planes paper
• Clarifying configuration of colliders (near-far)
• Add benchmarks and configs for linear models