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---
license: cc-by-nc-4.0
---
# Ctrl-Room dataset introduced in "Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints"
[paper](https://arxiv.org/abs/2310.03602) | [project page](https://fangchuan.github.io/ctrl-room.github.io/) | [code](https://github.com/fangchuan/Ctrl-Room)
This repository hosts the Ctrl-Room dataset, a collection of semantically annotated 3D scenes derived from the [Structured3D dataset](https://structured3d-dataset.org/). It contains 11,986 filtered rooms, including 4,961 bedrooms, 3,039 living rooms, 1,848 kitchens, 1,500 bathrooms, and 638 studies.
Additionally, we also provide the scene descriptions following the format in [SceneFormer](https://arxiv.org/abs/2012.09793) for each room, which can be used for training text-to-3D generative models.
## Dataset Structure
Outlines of the dataset files:
```
Ctrl-Room-Dataset/
├── train/ # train split
│ ├── bedroom/ # bedroom scenes
| | ├── bbox_3d/ # 3D bounding box annotations (.json files)
| | ├── cam_pos/ # camera positions
| | ├── depth/ # panoramic depth maps
| | ├── img/ # panoramic RGB images
| | ├── label_cor/ # 2D room_layout annotations for each panoramic RGB image
| | ├── quad_walls/ # 3D room_layout annotations (.json files)
| | ├── room_type/ # room types
| | ├── sem_layout_img/ # semantic layout panorama images
| | ├── text_desc/ # text prompt for each room
| | ├── text_desc_emb/ # pre-computed text embeddings using CLIP
│ | └── train_dataset_stats.json # dataset statistic information
│ ├── living_room/ # living room scenes
│ ├── kitchen/ # kitchen scenes
│ ├── study/ # study scenes
│ └── bathroom/ # bathroom scenes
├── test/ # test split
│ ├── bedroom/ # bedroom scenes
│ ├── living_room/ # living room scenes
│ ├── kitchen/ # kitchen scenes
│ ├── study/ # study scenes
│ └── bathroom/ # bathroom scenes
├── bedroom_splits.json # split file for bedroom
├── livingroom_splits.json # split file for living room
├── kitchen_splits.json # split file for kitchen
└── study_splits.json # split file for study
```
## Citation
If you can make use of it in your own research, please be so kind to cite us.
```
@article{Ctrl-Room,
title = {Ctrl-room: Controllable text-to-3d room meshes generation with layout constraints},
author = {Chuan Fang, Yuan Dong, Kunming Luo, Xiaotao Hu, Rakesh Shrestha, Ping Tan},
journal = {2025 International Conference on 3D Vision (3DV).},
year = {2025},
eprint = {2025: 692-701.},
archivePrefix = {IEEE},
primaryClass = {cs.CV}
}
``` |