README.md

---
license: cc-by-nc-4.0
task_categories:
- image-to-3d
- text-to-3d
tags:
- 3d
- scene-generation
- indoor-scenes
---

# SpatialGen Testset

This repository contains the test set for [SPATIALGEN: Layout-guided 3D Indoor Scene Generation](https://arxiv.org/abs/2509.14981), a novel multi-view multi-modal diffusion model for generating realistic and semantically consistent 3D indoor scenes.

[Project page](https://manycore-research.github.io/SpatialGen) | [Paper](https://arxiv.org/abs/2509.14981) | [Code](https://github.com/manycore-research/SpatialGen)

We provide a test set of 48 preprocessed point clouds and their corresponding GT layouts, multi-view images are cropped from the high-resolution panoramic images.

## Folder Structure

Outlines of the dataset files:
```bash
SpatialGen-Testset
|-- {scene_id}                # scene folder          
|   |-- rgb                   # multi-view color images
|   |-- semantic              # multi-view semantic maps
|   |-- depth                 # multi-view depth maps
|   |-- normal                # multi-view normal maps
|   |-- layout_depth          # rendered depth maps of the GT layout
|   |-- layout_semantic       # rendered semantic maps of the GT layout
|   |-- cameras.json          # camera parameters for the scene
|   |-- room_layout.json      # GT structured layout in JSON format
│   └-- test_split.txt        # testing split
└── test_split_caption.jsonl  # textural captions for each scene
```

## Sample Usage

### Visualization

We provide a [code](https://github.com/manycore-research/SpatialGen/blob/main/visualize_layout.py) to visualize the layout data.

```python
data_root_dir = "./example_data/scenes"
vis_root_dir = "./visualization"
scene_data_dirs = [os.path.join(data_root_dir, d) for d in os.listdir(data_root_dir) if d.startswith("scene_")]

for scene_data_dir in scene_data_dirs:
    vis_output_dir = os.path.join(vis_root_dir, scene_data_dir.split('/')[-1])
    # save layout_bbox.ply and camera poses in vis_output_dir
    visualize_spatialgen_data(scene_data_dir, vis_output_dir)
```

### Inference

This dataset is used for evaluating the SpatialGen models for 3D indoor scene generation. The following commands from the [code repository](https://github.com/manycore-research/SpatialGen) demonstrate how to run inference for different tasks (after following the installation instructions in the repository).

**Single image-to-3D Scene Generation**

```bash
bash scripts/infer_spatialgen_i2s.sh
```

**Text-to-image-to-3D Scene Generation**

You can choose a pair of `scene_id` and `prompt` from `captions/spatialgen_testset_captions.jsonl` to run the text-to-scene experiment.

```bash
bash scripts/infer_spatialgen_t2s.sh
```