Model Card for OpenLRM V1.1

Overview

This model card is for the OpenLRM project, which is an open-source implementation of the paper LRM.
Information contained in this model card corresponds to Version 1.1.

Model Details

Training data

Model	Training Data
openlrm-obj-small-1.1	Objaverse
openlrm-obj-base-1.1	Objaverse
openlrm-obj-large-1.1	Objaverse
openlrm-mix-small-1.1	Objaverse + MVImgNet
openlrm-mix-base-1.1	Objaverse + MVImgNet
openlrm-mix-large-1.1	Objaverse + MVImgNet

Model architecture (version==1.1)

Type	Layers	Feat. Dim	Attn. Heads	Triplane Dim.	Input Res.	Image Encoder	Size
small	12	512	8	32	224	dinov2_vits14_reg	446M
base	12	768	12	48	336	dinov2_vitb14_reg	1.04G
large	16	1024	16	80	448	dinov2_vitb14_reg	1.81G

Training settings

Type Rend. Res. Rend. Patch Ray Samples

small 192 64 96

base 288 96 96

large 384 128 128

Type	Rend. Res.	Rend. Patch	Ray Samples
small	192	64	96
base	288	96	96
large	384	128	128

Notable Differences from the Original Paper

We do not use the deferred back-propagation technique in the original paper.
We used random background colors during training.
The image encoder is based on the DINOv2 model with register tokens.
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.