This is the official implementation for Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects. [arXiv]
Please refer to NeRF-pytorch.
We propose a new dynamic dataset consisting of synthetic and real-world articulated objects, consisting of 2 spaces: original space and deformed space. If you are interested in our dataset, please reach out to russ000robin@gmail.com
.
NeRF Synthetic Dataset and Shiny Blender Dataset are also adopted in our paper.
Our method includes 3 steps:
- Initialize projection module
- Train projection module
- Finetune projection module and original NeRF
Please bash pipeline.sh
to run Knowledge NeRF.
For any questions, please feel free to reach out to start an issue in this repo.
@article{cai2024knowledge,
title={Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects},
author={Cai, Wenxiao and Lei{\i}nst, Xinyue and He, Xinyu and Chen, Junming Leo and Wang, Yangang},
journal={arXiv preprint arXiv:2404.00674},
year={2024}
}