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Openlrm Base Obj 1.0

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

KindOtherVersionRevision 64f8bc9

Model source

Kind
Other
File size
1.34 GB
Version
vRevision 64f8bc9
Updated
Sep 19, 2026
Downloads
20
Source
Hugging Face

Source description

Model Card for OpenLRM

Overview

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

Model Details

ModelTraining DataLayersFeat. DimTrip. Dim.Render Res.Link
openlrm-small-obj-1.0Objaverse1276832192HF
openlrm-base-obj-1.0Objaverse12102440192HF
openlrm-large-obj-1.0Objaverse16102480384HF
openlrm-smallObjaverse + MVImgNet1276832192To be released
openlrm-baseObjaverse + MVImgNet12102440192To be released
openlrm-largeObjaverse + MVImgNet16102480384To 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.

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

Sources

1 source
Hugging FacePrimaryVersion 64f8bc9c3ea6210027739b6e2ea2a54e3506997d
huggingface.co/zxhezexin/openlrm-base-obj-1.0/tree/64f8bc9c3ea6210027739b6e2ea2a54e3506997d

Verified Sep 8

Model artifacts

1 artifact

model.pth

pth · 1.34 GB · SHA-256 f73526d30482…d2a5 · Hugging Face

Download

Source excerpts

2 excerpts

--- license: cc-by-nc-4.0 datasets: - allenai/objaverse pipeline_tag: image-to-3d --- # Model Card for OpenLRM ## Overview This model card is for the [OpenLRM](https://github.com/3DTopia/OpenLRM) project, which is an open-source implementation of the paper [LRM](https://arxiv.org/abs/2311.04400). ## Model Details | 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](LICENSE_WEIGHT). - 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. --...

Source context: 20 downloads · 13 likes · Pipeline image-to-3d · Library transformers · Repo zxhezexin/openlrm-base-obj-1.0