OpenLRM provides an open-source implementation of Large Reconstruction Models for single-image-to-3D reconstruction. It trains neural networks to generate mesh representations from input images, releasing model weights trained on Objaverse and MVImgNet datasets. The project includes training code, inference pipelines, and Huggingface demos for 3D content generation.