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Related papers: Beyond Talking -- Generating Holistic 3D Human Dya…

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In dyadic speaker-listener interactions, the listener's head reactions along with the speaker's head movements, constitute an important non-verbal semantic expression together. The listener Head generation task aims to synthesize responsive…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Zhigang Chang , Weitai Hu , Qing Yang , Shibao Zheng

Hands are the main medium when people interact with the world. Generating proper 3D motion for hand-object interaction is vital for applications such as virtual reality and robotics. Although grasp tracking or object manipulation synthesis…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Yuze Hao , Jianrong Zhang , Tao Zhuo , Fuan Wen , Hehe Fan

We propose DiffSHEG, a Diffusion-based approach for Speech-driven Holistic 3D Expression and Gesture generation with arbitrary length. While previous works focused on co-speech gesture or expression generation individually, the joint…

Sound · Computer Science 2024-04-09 Junming Chen , Yunfei Liu , Jianan Wang , Ailing Zeng , Yu Li , Qifeng Chen

We introduce GaussianSpeech, a novel approach that synthesizes high-fidelity animation sequences of photo-realistic, personalized 3D human head avatars from spoken audio. To capture the expressive, detailed nature of human heads, including…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Shivangi Aneja , Artem Sevastopolsky , Tobias Kirschstein , Justus Thies , Angela Dai , Matthias Nießner

Audio-driven human video generation has achieved remarkable success in monologue scenarios, largely driven by advancements in powerful video generation foundation models. Moving beyond monologues, authentic human communication is inherently…

Artificial Intelligence · Computer Science 2026-04-14 Yuzhe Weng , Haotian Wang , Xinyi Yu , Xiaoyan Wu , Haoran Xu , Shan He , Jun Du

This paper presents a novel system that enables intelligent robots to exhibit realistic body gestures while communicating with humans. The proposed system consists of a listening model and a speaking model used in corresponding…

Computer Vision and Pattern Recognition · Computer Science 2019-11-18 Minjie Hua , Fuyuan Shi , Yibing Nan , Kai Wang , Hao Chen , Shiguo Lian

This paper aims to deal with the ignored real-world complexities in prior work on human motion forecasting, emphasizing the social properties of multi-person motion, the diversity of motion and social interactions, and the complexity of…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Sirui Xu , Yu-Xiong Wang , Liang-Yan Gui

We address the problem of generating realistic 3D human-object interactions (HOIs) driven by textual prompts. To this end, we take a modular design and decompose the complex task into simpler sub-tasks. We first develop a dual-branch…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Xiaogang Peng , Yiming Xie , Zizhao Wu , Varun Jampani , Deqing Sun , Huaizu Jiang

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

Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between speech and 3D full-body gestures is difficult due to the…

Computer Vision and Pattern Recognition · Computer Science 2023-10-12 Kunkun Pang , Dafei Qin , Yingruo Fan , Julian Habekost , Takaaki Shiratori , Junichi Yamagishi , Taku Komura

In this paper, we propose a novel audio-driven talking head method capable of simultaneously generating highly expressive facial expressions and hand gestures. Unlike existing methods that focus on generating full-body or half-body poses,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Linrui Tian , Siqi Hu , Qi Wang , Bang Zhang , Liefeng Bo

High-fidelity digital humans are increasingly used in interactive applications, yet achieving both visual realism and real-time responsiveness remains a major challenge. We present a high-fidelity, real-time conversational digital human…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Hongbin Huang , Junwei Li , Tianxin Xie , Zhuang Li , Cekai Weng , Yaodong Yang , Yue Luo , Li Liu , Jing Tang , Zhijing Shao , Zeyu Wang

3D Human motion generation is pivotal across film, animation, gaming, and embodied intelligence. Traditional 3D motion synthesis relies on costly motion capture, while recent work shows that 2D videos provide rich, temporally coherent…

Graphics · Computer Science 2026-05-20 Yi-Yang Zhang , Tengjiao Sun , Pengcheng Fang , Deng-Bao Wang , Xiaohao Cai , Min-Ling Zhang , Hansung Kim

Talking head generation is to generate video based on a given source identity and target motion. However, current methods face several challenges that limit the quality and controllability of the generated videos. First, the generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yue Gao , Yuan Zhou , Jinglu Wang , Xiao Li , Xiang Ming , Yan Lu

Human motion synthesis in complex scenes presents a fundamental challenge, extending beyond conventional Text-to-Motion tasks by requiring the integration of diverse modalities such as static environments, movable objects, natural language…

Graphics · Computer Science 2025-05-20 Zichen Geng , Zeeshan Hayder , Wei Liu , Ajmal Mian

We tackle the novel problem of predicting 3D hand motion and contact maps (or Interaction Trajectories) given a single RGB view, action text, and a 3D contact point on the object as input. Our approach consists of (1) Interaction Codebook:…

Computer Vision and Pattern Recognition · Computer Science 2025-04-17 Aditya Prakash , Benjamin Lundell , Dmitry Andreychuk , David Forsyth , Saurabh Gupta , Harpreet Sawhney

Given an arbitrary audio clip, audio-driven 3D facial animation aims to generate lifelike lip motions and facial expressions for a 3D head. Existing methods typically rely on training their models using limited public 3D datasets that…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Liying Lu , Tianke Zhang , Yunfei Liu , Xuangeng Chu , Yu Li

Impressive progress has been made in audio-driven 3D facial animation recently, but synthesizing 3D talking-head with rich emotion is still unsolved. This is due to the lack of 3D generative models and available 3D emotional dataset with…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Qianyun Wang , Zhenfeng Fan , Shihong Xia

Conversation is ubiquitous in social life, but the empirical study of this interactive process has been thwarted by tools that are insufficiently modular and unadaptive to researcher needs. To relieve many constraints in conversation…

Human-Computer Interaction · Computer Science 2026-03-24 David M. Markowitz

Body and face motion play an integral role in communication. They convey crucial information on the participants. Advances in generative modeling and multi-modal learning have enabled motion generation from signals such as speech,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Lownish Rai Sookha , Nikhil Pakhale , Mudasir Ganaie , Abhinav Dhall