| --- |
| license: apache-2.0 |
| task_categories: |
| - text-to-3d |
| --- |
| # IL3D: A Large-scale Indoor Layout Dataset for LLM-Driven 3D Scene Generation |
| ## 🏠 [Project Page](https://wenxuzhou.github.io/project/IL3D/) |
|
|
| # IL3D Dataset Usage Guide |
| This document provides an overview of the IL3D dataset. |
|
|
| ## Environment |
|
|
| We bulid this dataset with Ubuntu 22.04, Python 3.11, CUDA 11.8 |
|
|
| ## Dataset Contents |
| The IL3D dataset consists of three main components: |
|
|
| 3D-FRONT.zip: A 3D asset library containing 3D models for furniture and objects. |
| HSSD.zip: A supplementary 3D asset library with additional high-quality 3D models. |
| layout.zip: A scene layout library containing configuration files that define the arrangement of 3D assets in scenes. |
|
|
| ## Setup Instructions |
| Follow these steps to set up the environment and process the dataset: |
| Unzip the Dataset FilesExtract the three compressed files using the following commands: |
| ``` |
| unzip 3D-FRONT.zip |
| unzip HSSD.zip |
| unzip layout.zip |
| ``` |
|
|
| This will create directories containing the 3D assets and scene layout configurations. |
|
|
| ## Set Up the Conda Environment |
| Create a new Conda environment named IL3D with Python 3.11: |
| ``` |
| conda create -n IL3D python=3.11 |
| conda activate IL3D |
| pip install -r requirements.txt |
| ``` |
|
|
| ## Generate USDA Scene Models |
| Run the provided Python script to generate 3D scene models in USDA format: |
| ``` |
| python get_usda_rooms.py |
| ``` |
|
|
| This script processes the configuration files in the layout.zip archive and references the 3D assets from 3D-FRONT.zip and HSSD.zip. The USDA format requires absolute paths to the 3D assets, which is why this script generates the USDA files separately. |
