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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

Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and their surroundings. Despite recent progress in character…

Graphics · Computer Science 2023-02-03 Mohamed Hassan , Yunrong Guo , Tingwu Wang , Michael Black , Sanja Fidler , Xue Bin Peng

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

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

Synthesizing human motions in 3D environments, particularly those with complex activities such as locomotion, hand-reaching, and human-object interaction, presents substantial demands for user-defined waypoints and stage transitions. These…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Nan Jiang , Zimo He , Zi Wang , Hongjie Li , Yixin Chen , Siyuan Huang , Yixin Zhu

We propose a novel task of text-controlled human object interaction generation in 3D scenes with movable objects. Existing human-scene interaction datasets suffer from insufficient interaction categories and typically only consider…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Xinhao Cai , Minghang Zheng , Xin Jin , Yang Liu

The ability to synthesize long-term human motion sequences in real-world scenes can facilitate numerous applications. Previous approaches for scene-aware motion synthesis are constrained by pre-defined target objects or positions and thus…

Computer Vision and Pattern Recognition · Computer Science 2022-05-27 Jingbo Wang , Yu Rong , Jingyuan Liu , Sijie Yan , Dahua Lin , Bo Dai

Creating scenes for captured motions that achieve realistic human-scene interaction is crucial for 3D animation in movies or video games. As character motion is often captured in a blue-screened studio without real furniture or objects in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Jianan Li , Tao Huang , Qingxu Zhu , Tien-Tsin Wong

Synthesizing 3D human motion plays an important role in many graphics applications as well as understanding human activity. While many efforts have been made on generating realistic and natural human motion, most approaches neglect the…

Computer Vision and Pattern Recognition · Computer Science 2021-06-15 Jiashun Wang , Huazhe Xu , Jingwei Xu , Sifei Liu , Xiaolong Wang

Real-time synthesis of physically plausible human interactions remains a critical challenge for immersive VR/AR systems and humanoid robotics. While existing methods demonstrate progress in kinematic motion generation, they often fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Kaiyang Ji , Ye Shi , Zichen Jin , Kangyi Chen , Lan Xu , Yuexin Ma , Jingyi Yu , Jingya Wang

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

Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fall short, either by assuming flat terrain or lacking the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Xiaohan Zhang , Sebastian Starke , Vladimir Guzov , Zhensong Zhang , Eduardo Pérez Pellitero , Gerard Pons-Moll

Generating good quality and geometrically plausible synthetic images of humans with the ability to control appearance, pose and shape parameters, has become increasingly important for a variety of tasks ranging from photo editing, fashion…

Computer Vision and Pattern Recognition · Computer Science 2019-10-21 Mihai Zanfir , Elisabeta Oneata , Alin-Ionut Popa , Andrei Zanfir , Cristian Sminchisescu

Large-scale capture of human motion with diverse, complex scenes, while immensely useful, is often considered prohibitively costly. Meanwhile, human motion alone contains rich information about the scene they reside in and interact with.…

Graphics · Computer Science 2023-01-05 Sifan Ye , Yixing Wang , Jiaman Li , Dennis Park , C. Karen Liu , Huazhe Xu , Jiajun Wu

Humans interact with an object in many different ways by making contact at different locations, creating a highly complex motion space that can be difficult to learn, particularly when synthesizing such human interactions in a controllable…

Computer Vision and Pattern Recognition · Computer Science 2022-05-03 Xiaohan Zhang , Bharat Lal Bhatnagar , Vladimir Guzov , Sebastian Starke , Gerard Pons-Moll

Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed for a single character and overlook multi-human…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Zhenzhi Wang , Jingbo Wang , Yixuan Li , Dahua Lin , Bo Dai

Animating human-scene interactions such as pick-and-place tasks in cluttered, complex layouts is a challenging task, with objects of a wide variation of geometries and articulation under scenarios with various obstacles. The main difficulty…

Graphics · Computer Science 2025-10-07 Jintao Lu , He Zhang , Yuting Ye , Takaaki Shiratori , Sebastian Starke , Taku Komura

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

Creating flexible 3D scenes from a single image is vital when direct 3D data acquisition is costly or impractical. We introduce NavCrafter, a novel framework that explores 3D scenes from a single image by synthesizing novel-view video…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Hongbo Duan , Peiyu Zhuang , Yi Liu , Zhengyang Zhang , Yuxin Zhang , Pengting Luo , Fangming Liu , Xueqian Wang

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plausible locations and scales without interpenetration, aligning…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Qingyang Liu , Bingjie Gao , Weiheng Huang , Jun Zhang , Zhongqian Sun , Yang Wei , Fengrui Liu , Zelin Peng , Qianli Ma , Shuai Yang , Zhaohe Liao , Haonan Zhao , Li Niu
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