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Related papers: SIMS: Simulating Stylized Human-Scene Interactions…

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Human-Scene Interaction (HSI) seeks to generate realistic human behaviors within complex environments, yet it faces significant challenges in handling long-horizon, high-level tasks and generalizing to unseen scenes. To address these…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Lingzhou Mu , Qiang Wang , Fan Jiang , Mengchao Wang , Yaqi Fan , Mu Xu , Kai Zhang

Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre characteristics of the existing datasets on Human-Scene Interaction (HSI); they only have limited scale/quality…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Zan Wang , Yixin Chen , Tengyu Liu , Yixin Zhu , Wei Liang , Siyuan Huang

Naturally controllable human-scene interaction (HSI) generation has an important role in various fields, such as VR/AR content creation and human-centered AI. However, existing methods are unnatural and unintuitive in their controllability,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Haibiao Xuan , Xiongzheng Li , Jinsong Zhang , Hongwen Zhang , Yebin Liu , Kun Li

Three-dimensional scene generation holds significant potential in gaming, film, and virtual reality. However, most existing methods adopt a single-step generation process, making it difficult to balance scene complexity with minimal user…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Jiacheng Hong , Kunzhen Wu , Mingrui Yu , Yichao Gu , Shengze Xue , Shuangjiu Xiao , Deli Dong

Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in generating long videos with rich human-scene interactions (HSI),…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Zekun Li , Rui Zhou , Rahul Sajnani , Xiaoyan Cong , Daniel Ritchie , Srinath Sridhar

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

Human-Scene Interaction (HSI) is a vital component of fields like embodied AI and virtual reality. Despite advancements in motion quality and physical plausibility, two pivotal factors, versatile interaction control and the development of a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Zeqi Xiao , Tai Wang , Jingbo Wang , Jinkun Cao , Wenwei Zhang , Bo Dai , Dahua Lin , Jiangmiao Pang

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

Confronting the challenges of data scarcity and advanced motion synthesis in human-scene interaction modeling, we introduce the TRUMANS dataset alongside a novel HSI motion synthesis method. TRUMANS stands as the most comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Nan Jiang , Zhiyuan Zhang , Hongjie Li , Xiaoxuan Ma , Zan Wang , Yixin Chen , Tengyu Liu , Yixin Zhu , Siyuan Huang

We present HSImul3R, a unified framework for simulation-ready 3D reconstruction of human-scene interactions (HSI) from casual captures, including sparse-view images and monocular videos. Existing methods suffer from a perception-simulation…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Yukang Cao , Haozhe Xie , Fangzhou Hong , Long Zhuo , Zhaoxi Chen , Liang Pan , Ziwei Liu

We present a novel method for populating 3D indoor scenes with virtual humans that can navigate in the environment and interact with objects in a realistic manner. Existing approaches rely on training sequences that contain captured human…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Kaifeng Zhao , Yan Zhang , Shaofei Wang , Thabo Beeler , Siyu Tang

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

Human-scene Interaction (HSI) generation is a challenging task and crucial for various downstream tasks. However, one of the major obstacles is its limited data scale. High-quality data with simultaneously captured human and 3D environments…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Xinpeng Liu , Haowen Hou , Yanchao Yang , Yong-Lu Li , Cewu Lu

Scenes are continuously undergoing dynamic changes in the real world. However, existing human-scene interaction generation methods typically treat the scene as static, which deviates from reality. Inspired by world models, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Yin Wang , Zhiying Leng , Haitian Liu , Frederick W. B. Li , Mu Li , Xiaohui Liang

Generating 3D humans that functionally interact with 3D scenes remains an open problem with applications in embodied AI, robotics, and interactive content creation. The key challenge involves reasoning about both the semantics of functional…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Jie Liu , Yu Sun , Alpar Cseke , Yao Feng , Nicolas Heron , Michael J. Black , Yan Zhang

Synthesizing natural interactions between virtual humans and their 3D environments is critical for numerous applications, such as computer games and AR/VR experiences. Our goal is to synthesize humans interacting with a given 3D scene…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Kaifeng Zhao , Shaofei Wang , Yan Zhang , Thabo Beeler , Siyu Tang

Designing and evaluating personalized and proactive assistant agents remains challenging due to the time, cost, and ethical concerns associated with human-in-the-loop experimentation. Existing Human-Computer Interaction (HCI) methods often…

Human-Computer Interaction · Computer Science 2025-11-25 Ziyi Xuan , Yiwen Wu , Xuhai Xu , Vinod Namboodiri , Mooi Choo Chuah , Yu Yang

Modeling human-scene interactions (HSI) is essential for understanding and simulating everyday human behaviors. Recent approaches utilizing generative modeling have made progress in this domain; however, they are limited in controllability…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Inwoo Hwang , Bing Zhou , Young Min Kim , Jian Wang , Chuan Guo

Real-world human-built environments are highly dynamic, involving multiple humans and their complex interactions with surrounding objects. While 3D geometry modeling of such scenes is crucial for applications like AR/VR, gaming, and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Sandika Biswas , Qianyi Wu , Biplab Banerjee , Hamid Rezatofighi

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
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