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Related papers: InteractMove: Text-Controlled Human-Object Interac…

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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

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

Generating 3D scenes from human motion sequences supports numerous applications, including virtual reality and architectural design. However, previous auto-regression-based human-aware 3D scene generation methods have struggled to…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Xiaolin Hong , Hongwei Yi , Fazhi He , Qiong Cao

This paper addresses the problem of generating 3D interactive human motion from text. Given a textual description depicting the actions of different body parts in contact with static objects, we synthesize sequences of 3D body poses that…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Sihan Ma , Qiong Cao , Jing Zhang , Dacheng Tao

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

Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Existing methods often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Hui Shan , Keyang Luo , Ming Li , Sizhe Zheng , Yanwei Fu , Zhen Chen , Xiangru Huang

Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate realistic human behaviors. In this work, we address the challenging problem of generating synchronized object motion and human motion guided by…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Jiaman Li , Alexander Clegg , Roozbeh Mottaghi , Jiajun Wu , Xavier Puig , C. Karen Liu

Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre characteristics of the existing datasets on Human-Scene Interaction (HSI); they only have limited scale/quality…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Zan Wang , Yixin Chen , Tengyu Liu , Yixin Zhu , Wei Liang , Siyuan Huang

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

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

Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior analysis and human-robot collaboration. This challenging…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Bharat Lal Bhatnagar , Xianghui Xie , Ilya A. Petrov , Cristian Sminchisescu , Christian Theobalt , Gerard Pons-Moll

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

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

Generating natural hand-object interactions in 3D is challenging as the resulting hand and object motions are expected to be physically plausible and semantically meaningful. Furthermore, generalization to unseen objects is hindered by the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Sammy Christen , Shreyas Hampali , Fadime Sener , Edoardo Remelli , Tomas Hodan , Eric Sauser , Shugao Ma , Bugra Tekin

Among various interactions between humans, such as eye contact and gestures, physical interactions by contact can act as an essential moment in understanding human behaviors. Inspired by this fact, given a 3D partner human with the desired…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Dongjun Gu , Jaehyeok Shim , Jaehoon Jang , Changwoo Kang , Kyungdon Joo

Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and animation. Existing methods for human-object interaction often neglect scene context, leading…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Wei Yao , Yunlian Sun , Hongwen Zhang , Yebin Liu , Jinhui Tang

We introduce Drag4D, an interactive framework that integrates object motion control within text-driven 3D scene generation. This framework enables users to define 3D trajectories for the 3D objects generated from a single image, seamlessly…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Minjun Kang , Inkyu Shin , Taeyeop Lee , In So Kweon , Kuk-Jin Yoon

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

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

In this study, we tackle the complex task of generating 3D human-object interactions (HOI) from textual descriptions in a zero-shot text-to-3D manner. We identify and address two key challenges: the unsatisfactory outcomes of direct…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Sisi Dai , Wenhao Li , Haowen Sun , Haibin Huang , Chongyang Ma , Hui Huang , Kai Xu , Ruizhen Hu
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