image-to-3d

yapaymizeka/image-to-3d

image-to-3d is a machine learning model from yapaymizeka. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

This repository contains ONNX exports of the TripoSR model for running image-to-3D inference entirely on mobile devices.

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Updated Jul 16, 2026

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1.7 GB

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Hugging Face

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.onnx1.7 GB · 100%

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Access: Public
Created: Jul 16, 2026
Updated: Jul 16, 2026
SHA: 0b02d8e9

Model card

From the Hugging Face model README

TripoSR ONNX Exports for On-Device Image-to-3D

This repository contains ONNX exports of the TripoSR model for running image-to-3D inference entirely on mobile devices.

What is TripoSR?

TripoSR is a fast feed-forward image-to-3D model developed by Tripo AI and Stability AI. The original code and weights are available at:

GitHub: https://github.com/VAST-AI-Research/TripoSR
Hugging Face: https://huggingface.co/stabilityai/TripoSR

Files in this repository

File	Description	Approx. size
`image_to_triplanes.onnx`	Image encoder + transformer that outputs triplane features	~1.6 GB
`mlp.onnx`	Decoder MLP that maps triplane features to density and color	~170 KB
`mlp_quantized.onnx`	INT8 dynamically quantized version of `mlp.onnx`	~67 KB

Purpose

These ONNX files are used by the mobai-assist Android application to convert a single RGB image into a 3D mesh directly on the device. The conversion pipeline (triplane sampling, marching cubes, and mesh post-processing) is implemented in Kotlin/Android.

License

The original TripoSR code is released under the MIT License by Tripo AI & Stability AI. This repository redistributes ONNX conversions of the original weights and does not claim ownership of the model or the original license. Please refer to the original TripoSR repository for the full license and any model-specific usage terms.

Created: Jul 16, 2026
Updated: Jul 16, 2026