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ML-SHARP ONNX
ONNX conversion of Apple's SHARP single-image 3D Gaussian prediction model, for browser inference via ONNX Runtime Web + WebGPU.
Model Derivative Notice
This is a Model Derivative of Apple's SHARP model. The original PyTorch checkpoint has been converted to ONNX format using torch.onnx.export(). No retraining or fine-tuning was performed — the weights are numerically equivalent to the original checkpoint (sharp_2572gikvuh.pt).
Changes from the original model:
- Converted from PyTorch
.ptformat to ONNX (opset 18) - Weights stored as external data (
sharp.onnx.data) in fp32 - Model wrapped to return flat tensors instead of NamedTuple (required for ONNX compatibility)
- Fixed input shape:
[1, 3, 1536, 1536]image +[1]disparity factor
Files
sharp.onnx— ONNX computation graph (~7.4 MB)sharp.onnx.data— Model weights (~2.4 GB, fp32)
License
Apple Machine Learning Research Model is licensed under the Apple Machine Learning Research Model License Agreement.
This model is provided exclusively for Research Purposes — non-commercial scientific research and academic development activities. See the full license for details.
Attribution
Original model by Apple Inc. — apple/ml-sharp