Spaces:
Running on Zero
Running on Zero
|
Download README.md from junaid-simamdigital/Simam3D-GPU: direct link, hf CLI and curl.
- Browser
- Download file 826 Bytes
-
https://huggingface.co/spaces/junaid-simamdigital/Simam3D-GPU/resolve/main/README.md
- Command line
-
hf download hf://spaces/junaid-simamdigital/Simam3D-GPU/README.md
-
curl -L -o README.md https://huggingface.co/spaces/junaid-simamdigital/Simam3D-GPU/resolve/main/README.md
826 Bytes
| title: Simam3D GPU | |
| emoji: 🧭 | |
| colorFrom: indigo | |
| colorTo: blue | |
| sdk: gradio | |
| app_file: app.py | |
| python_version: "3.10" | |
| suggested_hardware: zero-a10g | |
| pinned: true | |
| tags: | |
| - image-to-3d | |
| - depth-estimation | |
| - gaussian-splatting | |
| - multi-view-reconstruction | |
| # Simam3D GPU | |
| This is the Gradio/ZeroGPU-compatible hosted variant of [Simam3D](https://huggingface.co/spaces/junaid-simamdigital/Simam3D). | |
| It uses the same evidence-aware depth, fusion, Gaussian-export, and validation | |
| pipeline, with heavy inference placed behind the optional `spaces.GPU` | |
| boundary. The output is a visualizable scaffold, not a claim of metric-scale | |
| reconstruction or verified unseen geometry. | |
| For the reproducible Docker build and full research documentation, see the | |
| [source Space](https://huggingface.co/spaces/junaid-simamdigital/Simam3D). | |