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Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of information for understanding 3D humans, 3D scenes, and the interactions between them. In fact, we demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Hongwei Yi , Chun-Hao P. Huang , Dimitrios Tzionas , Muhammed Kocabas , Mohamed Hassan , Siyu Tang , Justus Thies , Michael J. Black

Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However, only a few works consider human-scene interactions together with text conditions, which is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Zhi Cen , Huaijin Pi , Sida Peng , Zehong Shen , Minghui Yang , Shuai Zhu , Hujun Bao , Xiaowei Zhou

The concept of 3D scene graphs is increasingly recognized as a powerful semantic and hierarchical representation of the environment. Current approaches often address this at a coarse, object-level resolution. In contrast, our goal is to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Dennis Rotondi , Fabio Scaparro , Hermann Blum , Kai O. Arras

We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they are often limited in two aspects: focusing on the poses while…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Jingbo Wang , Sijie Yan , Bo Dai , Dahua LIn

Reconstructing metrically accurate humans and their surrounding scenes from a single image is crucial for virtual reality, robotics, and comprehensive 3D scene understanding. However, existing methods struggle with depth ambiguity,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Pradyumna Yalandur Muralidhar , Yuxuan Xue , Xianghui Xie , Margaret Kostyrko , Gerard Pons-Moll

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

3D human interaction generation has emerged as a key research area, focusing on producing dynamic and contextually relevant interactions between humans and various interactive entities. Recent rapid advancements in 3D model representation…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Siyuan Fan , Wenke Huang , Xiantao Cai , Bo Du

Recent advances in 3D human-aware generation have made significant progress. However, existing methods still struggle with generating novel Human Object Interaction (HOI) from text, particularly for open-set objects. We identify three main…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Jinlu Zhang , Yixin Chen , Zan Wang , Jie Yang , Yizhou Wang , Siyuan Huang

Simulating stylized human-scene interactions (HSI) in physical environments is a challenging yet fascinating task. Prior works emphasize long-term execution but fall short in achieving both diverse style and physical plausibility. To tackle…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Wenjia Wang , Liang Pan , Zhiyang Dou , Jidong Mei , Zhouyingcheng Liao , Yuke Lou , Yifan Wu , Lei Yang , Jingbo Wang , Taku Komura

Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and animation. Existing methods for human-object interaction often neglect scene context, leading…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Wei Yao , Yunlian Sun , Hongwen Zhang , Yebin Liu , Jinhui Tang

This paper presents a novel method for generating diverse 3D human poses in scenes with semantic control. Existing methods heavily rely on the human-scene interaction dataset, resulting in a limited diversity of the generated human poses.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Bowen Dang , Xi Zhao

Synthesizing diverse and physically plausible Human-Scene Interactions (HSI) is pivotal for both computer animation and embodied AI. Despite encouraging progress, current methods mainly focus on developing separate controllers, each…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Liang Pan , Zeshi Yang , Zhiyang Dou , Wenjia Wang , Buzhen Huang , Bo Dai , Taku Komura , Jingbo Wang

Text-to-3D scene generation from natural language is highly desirable for digital content creation. However, existing methods are largely domain-restricted or reliant on predefined spatial relationships, limiting their capacity for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Jun Luo , Jiaxiang Tang , Ruijie Lu , Gang Zeng

Understanding 3D scenes in open-world settings poses fundamental challenges for vision and robotics, particularly due to the limitations of closed-vocabulary supervision and static annotations. To address this, we propose a unified…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Fei Yu , Quan Deng , Shengeng Tang , Yuehua Li , Lechao Cheng

Despite substantial progress in text-driven 3D human motion synthesis, generating realistic multi-person interaction sequences remains challenging. Notably, body inter-penetration is a pervasive issue from both data acquisition to the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Nan Lei , Yuan-Ming Li , Ling-An Zeng , Liang Xu , Zhi-Wei Xia , Hui-Wen Huang , Fa-Ting Hong , Wei-Shi Zheng

Among various interactions between humans, such as eye contact and gestures, physical interactions by contact can act as an essential moment in understanding human behaviors. Inspired by this fact, given a 3D partner human with the desired…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Dongjun Gu , Jaehyeok Shim , Jaehoon Jang , Changwoo Kang , Kyungdon Joo

Segmenting humans in 3D indoor scenes has become increasingly important with the rise of human-centered robotics and AR/VR applications. To this end, we propose the task of joint 3D human semantic segmentation, instance segmentation and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Ayça Takmaz , Jonas Schult , Irem Kaftan , Mertcan Akçay , Bastian Leibe , Robert Sumner , Francis Engelmann , Siyu Tang

In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Sisi Dai , Wenhao Li , Haowen Sun , Haibin Huang , Chongyang Ma , Hui Huang , Kai Xu , Ruizhen Hu

We present a physics-based character control framework for synthesizing human-scene interactions. Recent advances adopt physics simulation to mitigate artifacts produced by data-driven kinematic approaches. However, existing physics-based…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Liang Pan , Jingbo Wang , Buzhen Huang , Junyu Zhang , Haofan Wang , Xu Tang , Yangang Wang

This paper tackles the problem of physics-aware human motion synthesis in a dynamic scene. Unlike existing works which mainly tend to generate physically unrealistic motions due to limited contact modeling, typically restricted to hands, in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Chaoyue Xing , Wei Mao , Miaomiao Liu