English
Related papers

Related papers: HOSIG: Full-Body Human-Object-Scene Interaction Ge…

200 papers

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

Recent generative models can synthesize high-quality images, but they often fail to generate humans interacting with objects using their hands. This arises mostly from the model's misunderstanding of such interactions and the hardships of…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Patrick Kwon , Chen Chen , Hanbyul Joo

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 human-object interactions (HOIs) is critical with the tremendous advances of digital avatars. Existing datasets are typically limited to humans interacting with a single object while neglecting the ubiquitous manipulation of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Xintao Lv , Liang Xu , Yichao Yan , Xin Jin , Congsheng Xu , Shuwen Wu , Yifan Liu , Lincheng Li , Mengxiao Bi , Wenjun Zeng , Xiaokang Yang

In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize high-quality human-object interaction videos conditioned on text, reference images, audio, and pose. This task holds significant practical…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Donghao Zhou , Guisheng Liu , Hao Yang , Jiatong Li , Jingyu Lin , Xiaohu Huang , Yichen Liu , Xin Gao , Cunjian Chen , Shilei Wen , Chi-Wing Fu , Pheng-Ann Heng

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

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

While Human-Object Interaction(HOI) Detection has achieved tremendous advances in recent, it still remains challenging due to complex interactions with multiple humans and objects occurring in images, which would inevitably lead to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-04 Kunlun Xu , Zhimin Li , Zhijun Zhang , Leizhen Dong , Wenhui Xu , Luxin Yan , Sheng Zhong , Xu Zou

Generating realistic hand-object interactions (HOI) videos is a significant challenge due to the difficulty of modeling physical constraints (e.g., contact and occlusion between hands and manipulated objects). Current methods utilize HOI…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Haodong Yan , Hang Yu , Zhide Zhong , Weilin Yuan , Xin Gong , Zehang Luo , Chengxi Heyu , Junfeng Li , Wenxuan Song , Shunbo Zhou , Haoang Li

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

The way humans interact with each other, including interpersonal distances, spatial configuration, and motion, varies significantly across different situations. To enable machines to understand such complex, context-dependent behaviors, it…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Jeonghyeon Na , Sangwon Baik , Inhee Lee , Junyoung Lee , Hanbyul Joo

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

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

Generating realistic 3D hand-object interactions (HOI) is a fundamental challenge in computer vision and robotics, requiring both temporal coherence and high-fidelity physical plausibility. Existing methods remain limited in their ability…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Zerui Chen , Rolandos Alexandros Potamias , Shizhe Chen , Jiankang Deng , Cordelia Schmid , Stefanos Zafeiriou

Human-object interaction (HOI) synthesis is important for various applications, ranging from virtual reality to robotics. However, acquiring 3D HOI data is challenging due to its complexity and high cost, limiting existing methods to the…

Graphics · Computer Science 2025-03-27 Yuke Lou , Yiming Wang , Zhen Wu , Rui Zhao , Wenjia Wang , Mingyi Shi , Taku Komura

Can we make virtual characters in a scene interact with their surrounding objects through simple instructions? Is it possible to synthesize such motion plausibly with a diverse set of objects and instructions? Inspired by these questions,…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Anindita Ghosh , Rishabh Dabral , Vladislav Golyanik , Christian Theobalt , Philipp Slusallek

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

We propose CG-HOI, the first method to address the task of generating dynamic 3D human-object interactions (HOIs) from text. We model the motion of both human and object in an interdependent fashion, as semantically rich human motion rarely…

Computer Vision and Pattern Recognition · Computer Science 2024-05-20 Christian Diller , Angela Dai

Complex scenes present significant challenges for predicting human behaviour due to the abundance of interaction information, such as human-human and humanenvironment interactions. These factors complicate the analysis and understanding of…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Caiyi Sun , Yujing Sun , Xiao Han , Zemin Yang , Jiawei Liu , Xinge Zhu , Siu Ming Yiu , Yuexin Ma

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