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OpenLRM: Open-Source Large Reconstruction Models

Code License Weight License LRM

HF Models HF Demo

<img src="assets/rendered_video/teaser.gif" width="75%" height="auto"/> <div style="text-align: left"> <img src="assets/mesh_snapshot/crop.owl.ply00.png" width="12%" height="auto"/> <img src="assets/mesh_snapshot/crop.owl.ply01.png" width="12%" height="auto"/> <img src="assets/mesh_snapshot/crop.building.ply00.png" width="12%" height="auto"/> <img src="assets/mesh_snapshot/crop.building.ply01.png" width="12%" height="auto"/> <img src="assets/mesh_snapshot/crop.rose.ply00.png" width="12%" height="auto"/> <img src="assets/mesh_snapshot/crop.rose.ply01.png" width="12%" height="auto"/> </div>

News

Setup

Installation

git clone https://github.com/3DTopia/OpenLRM.git
cd OpenLRM

Environment

Quick Start

Pretrained Models

ModelTraining DataLayersFeat. DimTrip. Dim.In. Res.Link
openlrm-obj-small-1.1Objaverse1251232224HF
openlrm-obj-base-1.1Objaverse1276848336HF
openlrm-obj-large-1.1Objaverse16102480448HF
openlrm-mix-small-1.1Objaverse + MVImgNet1251232224HF
openlrm-mix-base-1.1Objaverse + MVImgNet1276848336HF
openlrm-mix-large-1.1Objaverse + MVImgNet16102480448HF

Model cards with additional details can be found in model_card.md.

Prepare Images

Inference

Tips

Training

Configuration

Data Preparation

Run Training

Inference on Trained Models

Acknowledgement

Citation

If you find this work useful for your research, please consider citing:

@article{hong2023lrm,
  title={Lrm: Large reconstruction model for single image to 3d},
  author={Hong, Yicong and Zhang, Kai and Gu, Jiuxiang and Bi, Sai and Zhou, Yang and Liu, Difan and Liu, Feng and Sunkavalli, Kalyan and Bui, Trung and Tan, Hao},
  journal={arXiv preprint arXiv:2311.04400},
  year={2023}
}
@misc{openlrm,
  title = {OpenLRM: Open-Source Large Reconstruction Models},
  author = {Zexin He and Tengfei Wang},
  year = {2023},
  howpublished = {\url{https://github.com/3DTopia/OpenLRM}},
}

License