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Generating controllable indoor scenes is fundamental to applications in game development, architectural visualization, and embodied AI. However, existing approaches either support a limited input modalities or rely on implicit generation…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Wentang Chen , Shougao Zhang , Yiman Zhang , Tianhao Zhou , Ruihui Li

Simulation has become a key tool for training and evaluating home robots at scale, yet existing environments fail to capture the diversity and physical complexity of real indoor spaces. Current scene synthesis methods produce sparsely…

Robotics · Computer Science 2026-02-12 Nicholas Pfaff , Thomas Cohn , Sergey Zakharov , Rick Cory , Russ Tedrake

We present a system for generating indoor scenes in response to text prompts. The prompts are not limited to a fixed vocabulary of scene descriptions, and the objects in generated scenes are not restricted to a fixed set of object…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Rio Aguina-Kang , Maxim Gumin , Do Heon Han , Stewart Morris , Seung Jean Yoo , Aditya Ganeshan , R. Kenny Jones , Qiuhong Anna Wei , Kailiang Fu , Daniel Ritchie

We introduce SceneScript, a method that directly produces full scene models as a sequence of structured language commands using an autoregressive, token-based approach. Our proposed scene representation is inspired by recent successes in…

Constructing simulation scenes that are both visually and physically realistic is a problem of practical interest in domains ranging from robotics to computer vision. This problem has become even more relevant as researchers wielding large…

The ability to automatically generate large-scale, interactive, and physically realistic 3D environments is crucial for advancing robotic learning and embodied intelligence. However, existing generative approaches often fail to capture the…

Computer Vision and Pattern Recognition · Computer Science 2026-01-19 ChunTeng Chen , YiChen Hsu , YiWen Liu , WeiFang Sun , TsaiChing Ni , ChunYi Lee , Min Sun , YuanFu Yang

Indoor scene synthesis has become increasingly important with the rise of Embodied AI, which requires 3D environments that are not only visually realistic but also physically plausible and functionally diverse. While recent approaches have…

Graphics · Computer Science 2025-10-28 Yandan Yang , Baoxiong Jia , Shujie Zhang , Siyuan Huang

Generating realistic 3D indoor scenes from user inputs remains a challenging problem in computer vision and graphics, requiring careful balance of geometric consistency, spatial relationships, and visual realism. While neural generation…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Mengqi Zhou , Xipeng Wang , Yuxi Wang , Zhaoxiang Zhang

Controllable 3D indoor scene synthesis stands at the forefront of technological progress, offering various applications like gaming, film, and augmented/virtual reality. The capability to stylize and de-couple objects within these scenarios…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Yunfan Zhang , Hong Huang , Zhiwei Xiong , Zhiqi Shen , Guosheng Lin , Hao Wang , Nicholas Vun

Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Faria Huq , Nafees Ahmed , Anindya Iqbal

With recent developments in Embodied Artificial Intelligence (EAI) research, there has been a growing demand for high-quality, large-scale interactive scene generation. While prior methods in scene synthesis have prioritized the naturalness…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Yandan Yang , Baoxiong Jia , Peiyuan Zhi , Siyuan Huang

Despite recent advances in text-conditioned 3D indoor scene generation, there remain gaps in the evaluation of these methods. Existing metrics often measure realism by comparing generated scenes to a set of ground-truth scenes, but they…

Graphics · Computer Science 2026-03-10 Hou In Ivan Tam , Hou In Derek Pun , Austin T. Wang , Angel X. Chang , Manolis Savva

Designing 3D scenes is currently a creative task that requires significant expertise and effort in using complex 3D design interfaces. This effortful design process starts in stark contrast to the easiness with which people can use language…

Graphics · Computer Science 2017-03-02 Angel X. Chang , Mihail Eric , Manolis Savva , Christopher D. Manning

Building interactive simulators and scalable robot-learning environments requires a large number of articulated assets. However, most existing 3D assets in simulation are rigid, and manually converting them into articulated objects is…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Yixuan Yang , Luyang Xie , Zhen Luo , Zixiang Zhao , Tongsheng Ding , Mingqi Gao , Feng Zheng

Comprehending natural language instructions is a charming property for 3D indoor scene synthesis systems. Existing methods directly model object joint distributions and express object relations implicitly within a scene, thereby hindering…

Computer Vision and Pattern Recognition · Computer Science 2024-02-08 Chenguo Lin , Yadong Mu

Our project page: https://scutyklin.github.io/SceneLCM/. Automated generation of complex, interactive indoor scenes tailored to user prompt remains a formidable challenge. While existing methods achieve indoor scene synthesis, they struggle…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Yangkai Lin , Jiabao Lei , Kui Jia

We introduce the Scene Language, a visual scene representation that concisely and precisely describes the structure, semantics, and identity of visual scenes. It represents a scene with three key components: a program that specifies the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Yunzhi Zhang , Zizhang Li , Matt Zhou , Shangzhe Wu , Jiajun Wu

Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing. However, existing schemes for 3D scene editing still exhibit certain shortcomings,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Shuangkang Fang , Yufeng Wang , Yi-Hsuan Tsai , Yi Yang , Wenrui Ding , Shuchang Zhou , Ming-Hsuan Yang

Controllable scene synthesis aims to create interactive environments for various industrial use cases. Scene graphs provide a highly suitable interface to facilitate these applications by abstracting the scene context in a compact manner.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Guangyao Zhai , Evin Pınar Örnek , Shun-Cheng Wu , Yan Di , Federico Tombari , Nassir Navab , Benjamin Busam

Many multimodal learning tasks require supervision that remains consistent across edits, viewpoints, and scene-level interventions. However, such supervision is difficult to obtain from observation-level datasets, which do not expose the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Jizhizi Li , Jiayang Ao , Danny Wicks , Petru-Daniel Tudosiu
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