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Recent advancements in diffusion models have led to significant improvements in the generation and animation of 4D full-body human-object interactions (HOI). Nevertheless, existing methods primarily focus on SMPL-based motion generation,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Yukang Cao , Liang Pan , Kai Han , Kwan-Yee K. Wong , Ziwei Liu

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

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

Compositional Customized Image Generation aims to customize multiple target concepts within generation content, which has gained attention for its wild application. Existing approaches mainly concentrate on the target entity's appearance…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Zhu Xu , Zhaowen Wang , Yuxin Peng , Yang Liu

Text-conditioned human motion generation has experienced significant advancements with diffusion models trained on extensive motion capture data and corresponding textual annotations. However, extending such success to 3D dynamic…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Sirui Xu , Ziyin Wang , Yu-Xiong Wang , Liang-Yan Gui

In this work, we are dedicated to a new task, i.e., hand-object interaction image generation, which aims to conditionally generate the hand-object image under the given hand, object and their interaction status. This task is challenging and…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Hezhen Hu , Weilun Wang , Wengang Zhou , Houqiang Li

Zero-shot talking avatar generation aims at synthesizing natural talking videos from speech and a single portrait image. Previous methods have relied on domain-specific heuristics such as warping-based motion representation and 3D Morphable…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Tianyu He , Junliang Guo , Runyi Yu , Yuchi Wang , Jialiang Zhu , Kaikai An , Leyi Li , Xu Tan , Chunyu Wang , Han Hu , HsiangTao Wu , Sheng Zhao , Jiang Bian

Talking head generation creates lifelike avatars from static portraits for virtual communication and content creation. However, current models do not yet convey the feeling of truly interactive communication, often generating one-way…

Machine Learning · Computer Science 2026-01-05 Taekyung Ki , Sangwon Jang , Jaehyeong Jo , Jaehong Yoon , Sung Ju Hwang

Real-time synthesis of high-fidelity 3D character motion from audio is a pivotal component for next-generation interactive avatars and virtual assistants. However, most existing approaches are limited to offline processing of complete audio…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Bohong Chen , Yumeng Li , Yinglin Xu , Youyi Zheng , Yanlin Weng , Kun Zhou

Generating realistic human motions that naturally respond to both spoken language and physical objects is crucial for interactive digital experiences. Current methods, however, address speech-driven gestures or object interactions…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Sreehari Rajan , Kunal Bhosikar , Charu Sharma

This paper introduces the first text-guided work for generating the sequence of hand-object interaction in 3D. The main challenge arises from the lack of labeled data where existing ground-truth datasets are nowhere near generalizable in…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Junuk Cha , Jihyeon Kim , Jae Shin Yoon , Seungryul Baek

Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying detailed expressions and emotions of the avatar, making the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Yuchi Wang , Junliang Guo , Jianhong Bai , Runyi Yu , Tianyu He , Xu Tan , Xu Sun , Jiang Bian

This study investigates innovative interaction designs for communication and collaborative learning between learners of mixed hearing and signing abilities, leveraging advancements in mixed reality technologies like Apple Vision Pro and…

Human-Computer Interaction · Computer Science 2025-03-11 Si Chen , Haocong Cheng , Suzy Su , Stephanie Patterson , Raja Kushalnagar , Qi Wang , Yun Huang

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

Generating realistic and physically plausible 3D Human-Object Interactions (HOI) remains a key challenge in motion generation. One primary reason is that describing these physical constraints with words alone is difficult. To address this…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Songjin Cai , Linjie Zhong , Ling Guo , Changxing Ding

Text-to-video (T2V) generation has made tremendous progress in generating complicated scenes based on texts. However, human-object interaction (HOI) often cannot be precisely generated by current T2V models due to the lack of large-scale…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Kun Liu , Qi Liu , Xinchen Liu , Jie Li , Yongdong Zhang , Jiebo Luo , Xiaodong He , Wu Liu

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 rising demand for creating lifelike avatars in the digital realm has led to an increased need for generating high-quality human videos guided by textual descriptions and poses. We propose Dancing Avatar, designed to fabricate human…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Bosheng Qin , Wentao Ye , Qifan Yu , Siliang Tang , Yueting Zhuang

Existing video avatar models can produce fluid human animations, yet they struggle to move beyond mere physical likeness to capture a character's authentic essence. Their motions typically synchronize with low-level cues like audio rhythm,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Jianwen Jiang , Weihong Zeng , Zerong Zheng , Jiaqi Yang , Chao Liang , Wang Liao , Han Liang , Yuan Zhang , Mingyuan Gao

SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based methods have made progress in general 3D object generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Alexander Huang-Menders , Xinhang Liu , Andy Xu , Yuyao Zhang , Chi-Keung Tang , Yu-Wing Tai
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