| | --- |
| | license: other |
| | license_name: apple-amlr |
| | license_link: LICENSE |
| | tags: |
| | - gaussian-splatting |
| | - 3d-reconstruction |
| | - onnx |
| | - tortuise |
| | pipeline_tag: image-to-3d |
| | --- |
| | |
| | # SHARP ONNX — Apple's Single-Image 3D Gaussian Splatting |
| |
|
| | ONNX export of [Apple's SHARP model](https://github.com/apple/ml-sharp) for use with [tortuise](https://github.com/buildoak/tortuise), a terminal-native 3D Gaussian Splatting viewer. |
| |
|
| | ## Files |
| |
|
| | | File | Size | Description | |
| | |------|------|-------------| |
| | | `sharp.onnx` | 1.9 MB | Model structure (ONNX graph) | |
| | | `sharp.onnx.data` | 2.6 GB | Model weights (external data) | |
| |
|
| | Both files are required. The model exceeds protobuf's 2GB limit, so weights are stored separately. |
| |
|
| | ## Usage |
| |
|
| | These files are automatically downloaded by tortuise when you run: |
| |
|
| | ```bash |
| | cargo install tortuise --features sharp |
| | tortuise photo.jpg |
| | ``` |
| |
|
| | Or manually place both files in `~/.tortuise/models/`. |
| |
|
| | ## Model Details |
| |
|
| | - **Architecture:** DINOv2 ViT-Large encoder + Sliding Pyramid Network + DPT decoders |
| | - **Parameters:** 702M (340M trainable) |
| | - **Input:** Single RGB image (resized to 1536×1536 internally) |
| | - **Output:** ~1.2M 3D Gaussians (positions, scales, rotations, colors, opacities) |
| | - **ONNX opset:** 17 |
| | - **Source checkpoint:** `sharp_2572gikvuh.pt` from [apple/Sharp](https://huggingface.co/apple/Sharp) |
| |
|
| | ## License |
| |
|
| | The model weights are licensed under the [Apple Machine Learning Research Model License](LICENSE). This is a **research-only, non-commercial** license. See the LICENSE file for full terms. |
| |
|
| | This ONNX conversion is a format transformation of Apple's original PyTorch checkpoint. No architectural modifications were made. |
| |
|
| | ## Attribution |
| |
|
| | Based on Apple SHARP model. Copyright (C) 2025 Apple Inc. Licensed under the Apple Machine Learning Research Model License Agreement. |
| |
|
| | Paper: [SHARP: Monocular View Synthesis in Less Than a Second](https://arxiv.org/abs/2512.10685) |
| |
|
