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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

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

Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However, only a few works consider human-scene interactions together with text conditions, which is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Zhi Cen , Huaijin Pi , Sida Peng , Zehong Shen , Minghui Yang , Shuai Zhu , Hujun Bao , Xiaowei Zhou

Text-driven motion generation offers a powerful and intuitive way to create human movements directly from natural language. By removing the need for predefined motion inputs, it provides a flexible and accessible approach to controlling…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Ali Rida Sahili , Najett Neji , Hedi Tabia

Generating 3D human motion based on textual descriptions has been a research focus in recent years. It requires the generated motion to be diverse, natural, and conform to the textual description. Due to the complex spatio-temporal nature…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Chongyang Zhong , Lei Hu , Zihao Zhang , Shihong Xia

Recently, while text-driven human motion generation has received massive research attention, most existing text-driven motion generators are generally only designed to generate motion sequences in a blank background. While this is the case,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Haoxuan Qu , Ziyan Guo , Jun Liu

Text-driven human motion synthesis has showcased its potential for revolutionizing motion design in the movie and game industry. Existing methods often rely on 3D motion capture data, which requires special setups, resulting in high costs…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Ruoxi Guo , Huaijin Pi , Zehong Shen , Qing Shuai , Zechen Hu , Zhumei Wang , Yajiao Dong , Ruizhen Hu , Taku Komura , Sida Peng , Xiaowei Zhou

This work aims to generate natural and diverse group motions of multiple humans from textual descriptions. While single-person text-to-motion generation is extensively studied, it remains challenging to synthesize motions for more than one…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Mengyi Shan , Lu Dong , Yutao Han , Yuan Yao , Tao Liu , Ifeoma Nwogu , Guo-Jun Qi , Mitch Hill

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

Speech-driven 3D motion synthesis seeks to create lifelike animations based on human speech, with potential uses in virtual reality, gaming, and the film production. Existing approaches reply solely on speech audio for motion generation,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Wenshuo Peng , Kaipeng Zhang , Sai Qian Zhang

Inspired by the strong ties between vision and language, the two intimate human sensing and communication modalities, our paper aims to explore the generation of 3D human full-body motions from texts, as well as its reciprocal task,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-08 Chuan Guo , Xinxin Zuo , Sen Wang , Li Cheng

Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models for motion generation has enabled improvements in the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-17 Samaneh Azadi , Akbar Shah , Thomas Hayes , Devi Parikh , Sonal Gupta

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

This work addresses the problem of generating 3D holistic body motions from human speech. Given a speech recording, we synthesize sequences of 3D body poses, hand gestures, and facial expressions that are realistic and diverse. To achieve…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Hongwei Yi , Hualin Liang , Yifei Liu , Qiong Cao , Yandong Wen , Timo Bolkart , Dacheng Tao , Michael J. Black

Text-driven human motion generation has recently attracted considerable attention, allowing models to generate human motions based on textual descriptions. However, current methods neglect the influence of human attributes-such as age,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Xinghan Wang , Kun Xu , Fei Li , Cao Sheng , Jiazhong Yu , Yadong Mu

Generating videos of complex human motions such as flips, cartwheels, and martial arts remains challenging for current video diffusion models. Text-only conditioning is temporally ambiguous for fine-grained motion control, while explicit…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Ashkan Taghipour , Morteza Ghahremani , Zinuo Li , Hamid Laga , Farid Boussaid , Mohammed Bennamoun

In this work, we propose TextIM, a novel framework for synthesizing TEXT-driven human Interactive Motions, with a focus on the precise alignment of part-level semantics. Existing methods often overlook the critical roles of interactive body…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Siyuan Fan , Bo Du , Xiantao Cai , Bo Peng , Longling Sun

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

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

"How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" "How unstructured and complex can we make a sentence and still generate plausible movements from it?" These are…

Computer Vision and Pattern Recognition · Computer Science 2023-01-24 Anindita Ghosh , Noshaba Cheema , Cennet Oguz , Christian Theobalt , Philipp Slusallek
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