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sharp-ndc-onnx
benjipeng/sharp-ndc-onnx
sharp-ndc-onnx is a machine learning model from benjipeng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime.
This repo contains ONNX exports of Apple’s SHARP model predictor that outputs NDC-space 3D Gaussians.
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Public
Updated Jan 12, 2026
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At a glance
- Library
- onnxruntime
- Access
- Public
- Created
- Jan 12, 2026
- Updated
- Jan 12, 2026
- SHA
- fc8307c2
Base models
Model card
From the Hugging Face model README
SHARP (NDC) — ONNX exports (FP32 + INT8)
This repo contains ONNX exports of Apple’s SHARP model predictor that outputs NDC-space 3D Gaussians.
What’s included
- FP32 (opset18, external data):
onnx/fp32/sharp_ndc_opset18.onnx(+.onnx.data) - INT8 Dynamic (QDQ):
onnx/int8_dynamic/sharp_ndc_opset18_int8_dynamic.onnx(+ optional.onnx.data)
External data note: if a model has a
.onnx.datafile, it must stay in the same folder as its.onnx.
I/O contract (all variants)
Inputs:
image_resized_pt: float32[1, 3, 1536, 1536](NCHW, RGB, normalized to [0,1], resized bilinear with align_corners=True)disparity_factor: float32[1]computed asf_px / width_original
Outputs (float32):
mean_vectors:[1, 1179648, 3]singular_values:[1, 1179648, 3]quaternions:[1, 1179648, 4]colors:[1, 1179648, 3]opacities:[1, 1179648]
Notes
- These ONNX models output NDC Gaussians only. Converting to metric space / writing
.plycan be done outside ONNX. - See
metadata/for manifests and parity metrics.
License
This repository contains model derivatives (ONNX conversions). See LICENSE.
- Library
- onnxruntime
- Created
- Jan 12, 2026
- Updated
- Jan 12, 2026