Awesome
<!-- DreamCatalyst Authors * Jiwook Kim (https://github.com/tom919654) * Seonho Lee (https://github.com/glanceyes) * Jaeyo Shin (https://github.com/j-mayo) * Jiho Choi (https://github.com/JihoChoi) --> <h1 align="center"> <img width="30" height="30" src="assets/icon.png" alt="DreamCatalyst icon"> DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation </h1> <h4 align="center"> <a href="https://scholar.google.co.kr/citations?user=i0OKV8wAAAAJ&hl=en">Jiwook Kim<sup>*</sup></a>, <a href="https://scholar.google.co.kr/citations?user=DFKGTG0AAAAJ&hl=en">Seonho Lee<sup>*</sup></a>, <a href="https://scholar.google.com/citations?user=UbZM7nQAAAAJ&hl=en">Jaeyo Shin</a>, <a href="https://scholar.google.co.kr/citations?user=uvwpFpIAAAAJ&hl=en">Jiho Choi</a>, <a href="https://scholar.google.co.kr/citations?user=KB5XZGIAAAAJ&hl=en">Hyunjung Shim</a><br> </h4> <h5 align="center"> (* indicates equal contribution)<br> </h5> <h4 align="center">This is the official implementation of DreamCatalyst.
</h4>https://github.com/user-attachments/assets/a704b4b1-4a27-445a-8cba-b27f223b824b
<br/>News & Updates
-
[2024/10/04] 🌟 Codes based on the Threestudio for our method with Gaussian Editor have been released!
-
[2024/10/02] 🌟 Codes based on the Nerfstudio have been released!
-
[2024/07/17] 📄 Our paper is now available! The paper is released here.
Introduction
<div align="center"> <img src="assets/main_figure.png" alt="dreamcatalyst_main_figure"/> </div>DreamCatalyst is a novel framework that considers the sampling dynamics of diffusion models in the SDS(Score Distillation Sampling) framework. DreamCatalyst can be applied to various models in 3D editing, such as NeRF and 3DGS. This method aims to reduce training time and improve editing quality. Please refer to the paper for more details.
<br/>Architecture
<img src="assets/architecture.png" alt="DreamCatalyst architecture"> <br/>Get Started
We provide the implementation of DreamCatalyst based on the both NerfStudio and Threestudio frameworks. Nerfstudio is a framework for <b>NeRF or 3DGS editing</b>. Threestudio is a framework for <b>Gaussian Editor with DreamCatalyst</b>. Please refer to the following instructions.
Dataset
Please download the dataset from the following link and extract it into the dataset
directory.
- PDS provides image data for 3D scenes. You can download the dataset here. This dataset includes 3D scene data from Instruct-NeRF2NeRF as a subset.
- Note: Dreambooth checkpoints are not required for our method, so you can skip downloading them.
For use with Threestudio (GaussianEditor), please follow the instructions below and extract the preprocessed COLMAP datasets and source 3DGS into the colmap
and scene
directories, respectively.
- We provide the COLMAP and initialized 3DGS for the source scene:
- You can use the dataset provided by PDS mentioned above.
- <b>Preprocess Dataset</b>: Convert the dataset into COLMAP format as described in the 3DGS official repository.
- <b>Initialize 3DGS</b>: Follow the instructions for initializing 3DGS, as outlined in the 3DGS official repository. You can find the point cloud
.ply
file. (e.g.,scene/yuseung/point_cloud/iteration_30000/point_cloud.ply
)
For NerfStudio
Please refer to nerfstudio/README.md.
<br/>For Threestudio
Please refer to threestudio/README.md.
<br/>Citation
If you find our work useful in your research, please cite:
@misc{kim2024dreamcatalystfasthighquality3d,
title={DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation},
author={Jiwook Kim and Seonho Lee and Jaeyo Shin and Jiho Choi and Hyunjung Shim},
year={2024},
eprint={2407.11394},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.11394,
}
<br/>
Acknowledgement
We would like to express our gratitude to the following works: