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3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
| Date | Stars |
|---|---|
| 2026-07-24 | 346 |
| 2026-07-25 | 346 |
| 2026-07-28 | 346 |
| 2026-07-30 | 346 |
| 2026-08-06 | 346 |
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# 3D-Adapter Official PyTorch implementation of the papers: **3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation** <br> [Hansheng Chen](https://lakonik.github.io/)<sup>1</sup>, [Bokui Shen](https://cs.stanford.edu/people/bshen88/)<sup>2</sup>, [Yulin Liu](https://liuyulinn.github.io/)<sup>3,4</sup>, [Ruoxi Shi](https://rshi.top/)<sup>3</sup>, [Linqi Zhou](https://alexzhou907.github.io/)<sup>2</sup>, [Connor Z. Lin](https://connorzlin.com/)<sup>2</sup>, [Jiayuan Gu](https://pages.ucsd.edu/~ztu/)<sup>3</sup>, [Hao Su](https://cseweb.ucsd.edu/~haosu/)<sup>3,4</sup>, [Gordon Wetzstein](http://web.stanford.edu/~gordonwz/)<sup>1</sup>, [Leonidas Guibas](https://geometry.stanford.edu/member/guibas/)<sup>1</sup><br> <sup>1</sup>Stanford University, <sup>2</sup>Apparate Labs, <sup>3</sup>UCSD, <sup>4</sup>Hillbot <br> [[Project page](https://lakonik.github.io/3d-adapter)] [[🤗Demo](https://huggingface.co/spaces/Lakonik/3D-Adapter)] [[Paper](https://arxiv.org/abs/2410.18974)] **Generic 3D Diffusion Adapter Using Controlled Multi-View Editing** <br> [Hansheng Chen](https://lakonik.github.io/)<sup>1</sup>, [Ruoxi Shi](https://rshi.top/)<sup>2</sup>, [Yulin Liu](https://liuyulinn.github.io/)<sup>2</sup>, [Bokui Shen](https://cs.stanford.edu/people/bshen88/)<sup>3</sup>, [Jiayuan Gu](https://pages.ucsd.edu/~ztu/)<sup>2</sup>, [Gordon Wetzstein](http://web.stanford.edu/~gordonwz/)<sup>1</sup>, [Hao Su](https://cseweb.ucsd.edu/~haosu/)<sup>2</sup>, [Leonidas Guibas](https://geometry.stanford.edu/member/guibas/)<sup>1</sup><br> <sup>1</sup>Stanford University, <sup>2</sup>UCSD, <sup>3</sup>Apparate Labs <br> [[Project page](https://lakonik.github.io/mvedit)] [[🤗Demo](https://huggingface.co/spaces/Lakonik/MVEdit)] [[Paper](https://arxiv.org/abs/2403.12032)] https://github.com/user-attachments/assets/6cba3a92-04fe-46ee-88ca-e6dfe5443c36 ## Todos - [ ] Release GRM-based 3D-Adapters (unfortunately, we cannot release these models before the official release of [GRM](https://github.com/justimyhxu/GRM)) ## Installation The code has been tested in the environment described as follows: - Linux (tested on Ubuntu 20 and above) - [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive) 11.8 and above - [PyTorch](https://pytorch.org/get-started/previous-versions/) 2.1 and above - FFmpeg, x264 (optional, for exporting videos) Other dependencies can be installed via `pip install -r requirements.txt`. An example of installation commands is shown below (you may change the CUDA version yourself): ```bash # Export the PATH of CUDA toolkit export PATH=/usr/local/cuda-12.1/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-12.1/lib64:$LD_LIBRARY_PATH # Create conda environment conda create -y -n mvedit python=3.10 numpy=1.26 ninja conda activate mvedit # Install FFmpeg (optional) conda install -c conda-forge ffmpeg x264 # Install PyTorch conda install pytorch==2.1.2 torchvision==0.16.2 pytorch-cuda=12.1 -c pytorch -c nvidia # Clone this repo and install other dependencies git clone https://github.com/Lakonik/MVEdit && cd MVEdit pip install -r requirements.txt ``` This codebase also works on Windows systems if the environment is configured correctly. Certain packages (e.g., tiny-cuda-nn) may require adjustments for installation on Windows. ## Inference We recommend using the Gradio Web UI and its APIs for inference. A GPU with at least 24GB of VRAM is required to run the Web UI. ### Web UI Run the following command to start the Web UI: ```bash python app.py --unload-models ``` The Web UI will be available at [http://localhost:7860](http://localhost:7860). If you add the `--share` flag, a temporary public URL will be generated for you to share the Web UI with others. All models will be automatically loaded on demand. The first run will take a very long time to download the models. Check your network connection to GitHub, Google Drive and Hugging Face if the download fails. To view other opt
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matched fp:8769133a010c145b, topic:stable-diffusion, topic:diffusion-models