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Expand Up @@ -4,6 +4,7 @@ This repository contains the official implementation for [DreamGaussian: Generat

### [Project Page](https://dreamgaussian.github.io) | [Arxiv](https://arxiv.org/abs/2309.16653)

A novel 3D content generation framework that achieves both efficiency and quality simultaneously. Our key insight is to design a generative 3D Gaussian Splatting model with companioned mesh extraction and texture refinement in UV space.

https://github.com/dreamgaussian/dreamgaussian/assets/25863658/db860801-7b9c-4b30-9eb9-87330175f5c8

Expand Down Expand Up @@ -34,8 +35,12 @@ Tested on:
* Ubuntu 22 with torch 1.12 & CUDA 11.6 on a V100.
* Windows 10 with torch 2.1 & CUDA 12.1 on a 3070.

## Dependencies
//Include dependencies and information needed to conduct project

## Usage


Image-to-3D:
```bash
### preprocess
Expand Down Expand Up @@ -116,6 +121,8 @@ This work is built on many amazing research works and open-source projects, than
* [threestudio](https://github.com/threestudio-project/threestudio)
* [nvdiffrast](https://github.com/NVlabs/nvdiffrast)
* [dearpygui](https://github.com/hoffstadt/DearPyGui)
## Licensing
//Include licensing information here

## Citation

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