Spaces:
Running on Zero
Running on Zero
| title: DiffusionGS Object Generation | |
| emoji: 馃Ц | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.50.0 | |
| python_version: 3.12.12 | |
| app_file: space_app.py | |
| pinned: false | |
| short_description: Image-to-3D objects with point-cloud and mesh downloads | |
| models: | |
| - CaiYuanhao/DiffusionGS | |
| datasets: | |
| - CaiYuanhao/DiffusionGS | |
| tags: | |
| - image-to-3d | |
| - gaussian-splatting | |
| - diffusiongs | |
| # DiffusionGS 路 Object Generation | |
| Generate a 3D object from one reference image. Upload an image or choose an example, click **Generate object**, then preview and download the rendered views and Gaussian point cloud. **Extract mesh** creates a colored mesh preview with GLB and OBJ downloads. | |
| [Scene demo](https://huggingface.co/spaces/CaiYuanhao/DiffusionGS-Scene) 路 [GitHub](https://github.com/caiyuanhao1998/Open-DiffusionGS) 路 [Models](https://huggingface.co/CaiYuanhao/DiffusionGS) 路 [Paper](https://arxiv.org/abs/2411.14384) | |
|  | |
| The Object and Scene demos share this Space's ZeroGPU backend. The Scene interface is also available at `/scene`. Models are loaded from the official model repository at startup; GPU time is allocated only during inference. | |