| --- |
| 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 |
| ``` |
