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LENeRF_public (CVPR'23)

project page: Link

arxiv: Link

Our codebase is borrowed from EG3D.

Environment Install

Install conda environment usig lenerf_env.yml.

Model inference

Configure config_list in inferece.py, and run

bash inference.sh

LENeRF training

Make a custom config file, and set --config-path in the clipedit.sh file, and run

bash clipedit.sh

BibTeX

@inproceedings{hyung2023local,
  title     =   {Local 3D Editing via 3D Distillation of CLIP Knowledge},
  author    =   {Hyung, Junha and Hwang, Sungwon and Kim, Daejin and Lee, Hyunji and Choo, Jaegul},
  booktitle =   {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages     =   {12674--12684},
  year      =   {2023}
}

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