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Openlrm Obj Small 1.1

Developed by zxhezexin
OpenLRM is an open-source implementation of the LRM paper for generating 3D models from a single image
Downloads 58
Release Time : 3/4/2024

Model Overview

OpenLRM is a Transformer-based image-to-3D model generation system that predicts tri-plane representations of Neural Radiance Fields (NeRF) from a single input image to generate 3D models.

Model Features

Multi-scale Model Selection
Offers small/base/large model scales to meet different computational resource requirements
Dual-data Training Versions
Provides pure Objaverse-trained version and Objaverse+MVImgNet mixed training version
Efficient 3D Representation
Utilizes tri-plane representation for efficient 3D model generation
DINOv2 Image Encoding
Uses DINOv2 model with registered tokens as image encoder to enhance feature extraction

Model Capabilities

Single-image 3D Reconstruction
Neural Radiance Field Prediction
Tri-plane Representation Generation

Use Cases

3D Content Creation
Rapid 3D Modeling
Quickly generate 3D model prototypes from single product photos
Significantly reduces 3D modeling time
Virtual Scene Construction
Build 3D virtual scenes based on real-world images
Accelerates virtual environment creation process
Educational Research
3D Reconstruction Research
Used for 3D reconstruction algorithm research in computer vision and graphics fields
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