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mxtx0123/
ml-sharp-onnx

Name: ml-sharp-onnx
Availability: InStock

onnx

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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 .pt format 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

mxtx0123/ml-sharp-onnx