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  # Ctrl-Room dataset introduced in "Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints"
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  [paper](https://arxiv.org/abs/2310.03602) | [project page](https://fangchuan.github.io/ctrl-room.github.io/) | [code](https://github.com/fangchuan/Ctrl-Room)
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- This repository contains the Ctrl-Room dataset, which provides semantic labels for 3D object bounding boxes in [Structured3D dataset](https://structured3d-dataset.org/), after filtering, resulting in 4,961 bedrooms, 3,039 living rooms, 1,848 kitchens, 638 studies, and 1,500 bathrooms in total.
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- 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.
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  ## Dataset Structure
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  Outlines of the dataset files:
 
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  # Ctrl-Room dataset introduced in "Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints"
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  [paper](https://arxiv.org/abs/2310.03602) | [project page](https://fangchuan.github.io/ctrl-room.github.io/) | [code](https://github.com/fangchuan/Ctrl-Room)
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+ 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.
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+ 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.
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  ## Dataset Structure
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  Outlines of the dataset files: