Image-to-3D
Sharp
qnn
qualcomm
htp
dlc
hexagon
gaussian-splatting
3d-reconstruction
single-image
on-device
android
sharp
Instructions to use kjcpc/ML-Sharp-QNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sharp
How to use kjcpc/ML-Sharp-QNN with Sharp:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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license: apple-amlr
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base_model: apple/Sharp
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tags:
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# SHARP QNN
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This is a **Qualcomm QNN (Qualcomm Neural Network)** conversion of [apple/Sharp](https://huggingface.co/apple/Sharp) for **on-device inference** on Android devices with Snapdragon processors. The models run on the **Hexagon Tensor Processor (HTP)** DSP via the QNN SDK, enabling fully offline, single-image 3D Gaussian Splatting reconstruction directly on a smartphone.
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Models are available in multiple precision variants under `dlc/`:
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---
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license: apple-amlr
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base_model: apple/Sharp
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tags:
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# SHARP QNN
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This is the **model repository** for [ML-Sharp-QNN](https://github.com/kjckangshifu/ML-Sharp-QNN) — an Android app that runs 3D Gaussian Splatting reconstruction fully on-device. The models are a **Qualcomm QNN (Qualcomm Neural Network)** conversion of [apple/Sharp](https://huggingface.co/apple/Sharp) for **on-device inference** on Android devices with Snapdragon processors. The models run on the **Hexagon Tensor Processor (HTP)** DSP via the QNN SDK, enabling fully offline, single-image 3D Gaussian Splatting reconstruction directly on a smartphone.
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Models are available in multiple precision variants under `dlc/`:
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