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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

We present a method for inferring diverse 3D models of human-object interactions from images. Reasoning about how humans interact with objects in complex scenes from a single 2D image is a challenging task given ambiguities arising from the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-07 Xi Wang , Gen Li , Yen-Ling Kuo , Muhammed Kocabas , Emre Aksan , Otmar Hilliges

We propose a real-time system for synthesizing gestures directly from speech. Our data-driven approach is based on Generative Adversarial Neural Networks to model the speech-gesture relationship. We utilize the large amount of speaker video…

Computer Vision and Pattern Recognition · Computer Science 2022-08-08 Manuel Rebol , Christian Gütl , Krzysztof Pietroszek

Recent advances in interactive technologies have highlighted the prominence of audio signals for semantic encoding. This paper explores a new task, where audio signals are used as conditioning inputs to generate motions that align with the…

Sound · Computer Science 2025-05-30 Zi-An Wang , Shihao Zou , Shiyao Yu , Mingyuan Zhang , Chao Dong

While existing methods for reconstructing hand-object interactions have made impressive progress, they either focus on rigid or part-wise rigid objects-limiting their ability to model real-world objects (e.g., cloth, stuffed animals) that…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Jihyun Lee , Changmin Lee , Donghwan Kim , Tae-Kyun Kim

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

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

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

Our hands serve as a fundamental means of interaction with the world around us. Therefore, understanding hand poses and interaction context is critical for human-computer interaction. We present EchoWrist, a low-power wristband that…

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

Objects produce different sounds when hit, and humans can intuitively infer how an object might sound based on its appearance and material properties. Inspired by this intuition, we propose Visual Acoustic Fields, a framework that bridges…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Yuelei Li , Hyunjin Kim , Fangneng Zhan , Ri-Zhao Qiu , Mazeyu Ji , Xiaojun Shan , Xueyan Zou , Paul Liang , Hanspeter Pfister , Xiaolong Wang

Humans frequently grasp, manipulate, and move objects. Interactive systems assist humans in these tasks, enabling applications in Embodied AI, human-robot interaction, and virtual reality. However, current methods in hand-object synthesis…

Robotics · Computer Science 2025-03-10 Sammy Christen

Visual uncertainties such as occlusions, lack of texture, and noise present significant challenges in obtaining accurate kinematic models for safe robotic manipulation. We introduce a probabilistic real-time approach that leverages the…

Robotics · Computer Science 2025-11-04 Adrian Pfisterer , Xing Li , Vito Mengers , Oliver Brock

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

In video game design, audio (both environmental background music and object sound effects) play a critical role. Sounds are typically pre-created assets designed for specific locations or objects in a game. However, user-generated content…

Human-Computer Interaction · Computer Science 2024-04-29 Thomas Marrinan , Pakeeza Akram , Oli Gurmessa , Anthony Shishkin

Human motion generation aims to generate natural human pose sequences and shows immense potential for real-world applications. Substantial progress has been made recently in motion data collection technologies and generation methods, laying…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Wentao Zhu , Xiaoxuan Ma , Dongwoo Ro , Hai Ci , Jinlu Zhang , Jiaxin Shi , Feng Gao , Qi Tian , Yizhou Wang

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

People communicate using both speech and non-verbal signals such as gestures, face expression or body pose. Non-verbal signals impact the meaning of the spoken utterance in an abundance of ways. An absence of non-verbal signals impoverishes…

Computer Vision and Pattern Recognition · Computer Science 2021-08-24 Manuel Rebol , Christian Gütl , Krzysztof Pietroszek

The thud of a bouncing ball, the onset of speech as lips open -- when visual and audio events occur together, it suggests that there might be a common, underlying event that produced both signals. In this paper, we argue that the visual and…

Computer Vision and Pattern Recognition · Computer Science 2018-10-10 Andrew Owens , Alexei A. Efros

Reconstructing hand-held objects from monocular RGB images is an appealing yet challenging task. In this task, contacts between hands and objects provide important cues for recovering the 3D geometry of the hand-held objects. Though recent…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Junxing Hu , Hongwen Zhang , Zerui Chen , Mengcheng Li , Yunlong Wang , Yebin Liu , Zhenan Sun
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