Openlrm-small-obj-1.0 Open Source Model - Generate Realistic 3D Models from a Single Image for Free

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Openlrm Small Obj 1.0

Developed by zxhezexin

OpenLRM is an open-source implementation of the LRM paper, focusing on generating 3D models from a single image

3D Vision

Transformers

#Single-image 3D Reconstruction #Tri-plane Decoding #High-resolution Rendering

Downloads 35

Release Time : 1/9/2024

Model Overview

OpenLRM is an image-to-3D deep learning model capable of generating high-quality 3D object representations from a single input image. The project offers different model sizes to accommodate various computational resource requirements for research scenarios.

Model Features

Multi-scale Model Selection

Offers small, base, and large model versions to accommodate different computational resource needs

Open-source Implementation

As an open-source implementation of the LRM paper, it promotes research development in the field of 3D reconstruction

Tri-plane Decoder

Adopts a tri-plane decoder architecture with 4 hierarchical levels to enhance 3D reconstruction quality

Model Capabilities

Single-view 3D Reconstruction

3D Object Generation

Image-to-3D Conversion

Use Cases

Computer Vision Research

3D Scene Reconstruction

Reconstruct 3D scenes from a single 2D image

Generates 3D models usable in virtual environments

Digital Content Creation

Rapid 3D Modeling

Quickly generate 3D model prototypes based on reference images

Accelerates 3D content creation workflow

🚀 Model Card for OpenLRM

This model card provides details about the OpenLRM project. It's an open - source implementation of the paper LRM, offering an image - to - 3D solution.

📚 Documentation

Overview

This model card is for the OpenLRM project, which is an open - source implementation of the paper LRM.

Model Details

Property	Details
Model Type	openlrm - small - obj - 1.0, openlrm - base - obj - 1.0, openlrm - large - obj - 1.0, openlrm - small, openlrm - base, openlrm - large
Training Data	Objaverse, Objaverse + MVImgNet
Layers	12, 16
Feat. Dim	768, 1024
Trip. Dim.	32, 40, 80
Render Res.	192, 384
Link	[HF](https://huggingface.co/zxhezexin/openlrm - small - obj - 1.0), [HF](https://huggingface.co/zxhezexin/openlrm - base - obj - 1.0), [HF](https://huggingface.co/zxhezexin/openlrm - large - obj - 1.0), To be released

Model	Training Data	Layers	Feat. Dim	Trip. Dim.	Render Res.	Link
openlrm - small - obj - 1.0	Objaverse	12	768	32	192	[HF](https://huggingface.co/zxhezexin/openlrm - small - obj - 1.0)
openlrm - base - obj - 1.0	Objaverse	12	1024	40	192	[HF](https://huggingface.co/zxhezexin/openlrm - base - obj - 1.0)
openlrm - large - obj - 1.0	Objaverse	16	1024	80	384	[HF](https://huggingface.co/zxhezexin/openlrm - large - obj - 1.0)
openlrm - small	Objaverse + MVImgNet	12	768	32	192	To be released
openlrm - base	Objaverse + MVImgNet	12	1024	40	192	To be released
openlrm - large	Objaverse + MVImgNet	16	1024	80	384	To be released

Differences from the Original Paper

We do not use the deferred back - propagation technique in the original paper.
The triplane decoder contains 4 layers in our implementation.

License

The model weights are released under the Creative Commons Attribution - NonCommercial 4.0 International License.
They are provided for research purposes only, and CANNOT be used commercially.

Disclaimer

This model is an open - source implementation and is NOT the official release of the original research paper. While it aims to reproduce the original results as faithfully as possible, there may be variations due to model implementation, training data, and other factors.

Ethical Considerations

This model should be used responsibly and ethically, and should not be used for malicious purposes.
Users should be aware of potential biases in the training data.
The model should not be used under the circumstances that could lead to harm or unfair treatment of individuals or groups.

Usage Considerations

The model is provided "as is" without warranty of any kind.
Users are responsible for ensuring that their use complies with all relevant laws and regulations.
The developers and contributors of this model are not liable for any damages or losses arising from the use of this model.

📄 License

The model is released under the Creative Commons Attribution - NonCommercial 4.0 International License. It's for research use only, and commercial use is prohibited.

⚠️ Important Note

This model card is subject to updates and modifications. Users are advised to check for the latest version regularly.

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