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Related papers: SpeechAct: Towards Generating Whole-body Motion fr…

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Recent advances in diffusion-based video generation have enabled photo-realistic short clips, but current methods still struggle to achieve multi-modal consistency when jointly generating whole-body motion and natural speech. Current…

Computer Vision and Pattern Recognition · Computer Science 2025-07-30 Xinhan Di , Kristin Qi , Pengqian Yu

Whole-body multimodal motion generation, controlled by text, speech, or music, has numerous applications including video generation and character animation. However, employing a unified model to achieve various generation tasks with…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Yuxuan Bian , Ailing Zeng , Xuan Ju , Xian Liu , Zhaoyang Zhang , Wei Liu , Qiang Xu

We present a framework for generating full-bodied photorealistic avatars that gesture according to the conversational dynamics of a dyadic interaction. Given speech audio, we output multiple possibilities of gestural motion for an…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Evonne Ng , Javier Romero , Timur Bagautdinov , Shaojie Bai , Trevor Darrell , Angjoo Kanazawa , Alexander Richard

Speech-driven gesture generation aims at synthesizing a gesture sequence synchronized with the input speech signal. Previous methods leverage neural networks to directly map a compact audio representation to the gesture sequence, ignoring…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Fengqi Liu , Hexiang Wang , Jingyu Gong , Ran Yi , Qianyu Zhou , Xuequan Lu , Jiangbo Lu , Lizhuang Ma

We present DiverseMotion, a new approach for synthesizing high-quality human motions conditioned on textual descriptions while preserving motion diversity.Despite the recent significant process in text-based human motion generation,existing…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yunhong Lou , Linchao Zhu , Yaxiong Wang , Xiaohan Wang , Yi Yang

Co-speech gesture generation aims to synthesize realistic body movements that are semantically coherent with speech and faithful to a user-specified gestural style. Existing VQ-VAE based co-speech gesture generation methods improve…

Graphics · Computer Science 2026-05-11 Junchuan Zhao , Qifan Liang , Ye Wang

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

The generation of humanoid animation from text prompts can profoundly impact animation production and AR/VR experiences. However, existing methods only generate body motion data, excluding facial expressions and hand movements. This…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Mingdian Liu , Yilin Liu , Gurunandan Krishnan , Karl S Bayer , Bing Zhou

The field has made significant progress in synthesizing realistic human motion driven by various modalities. Yet, the need for different methods to animate various body parts according to different control signals limits the scalability of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Zixiang Zhou , Yu Wan , Baoyuan Wang

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

In this work, we introduce a challenging task for simultaneously generating 3D holistic body motions and singing vocals directly from textual lyrics inputs, advancing beyond existing works that typically address these two modalities in…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Jiaben Chen , Xin Yan , Yihang Chen , Siyuan Cen , Zixin Wang , Qinwei Ma , Haoyu Zhen , Kaizhi Qian , Lie Lu , Chuang Gan

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

In this paper, we propose a novel approach to convert given speech audio to a photo-realistic speaking video of a specific person, where the output video has synchronized, realistic, and expressive rich body dynamics. We achieve this by…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Miao Liao , Sibo Zhang , Peng Wang , Hao Zhu , Xinxin Zuo , Ruigang Yang

This paper presents a novel approach for generating 3D talking heads from raw audio inputs. Our method grounds on the idea that speech related movements can be comprehensively and efficiently described by the motion of a few control points…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Federico Nocentini , Claudio Ferrari , Stefano Berretti

This paper presents a generic method for generating full facial 3D animation from speech. Existing approaches to audio-driven facial animation exhibit uncanny or static upper face animation, fail to produce accurate and plausible…

Computer Vision and Pattern Recognition · Computer Science 2022-05-23 Alexander Richard , Michael Zollhoefer , Yandong Wen , Fernando de la Torre , Yaser Sheikh

We explore how body shapes influence human motion synthesis, an aspect often overlooked in existing text-to-motion generation methods due to the ease of learning a homogenized, canonical body shape. However, this homogenization can distort…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Ting-Hsuan Liao , Yi Zhou , Yu Shen , Chun-Hao Paul Huang , Saayan Mitra , Jia-Bin Huang , Uttaran Bhattacharya

In this work, we present MoLang (a Motion-Language connecting model) for learning joint representation of human motion and language, leveraging both unpaired and paired datasets of motion and language modalities. To this end, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2022-10-28 Jihoon Kim , Youngjae Yu , Seungyoun Shin , Taehyun Byun , Sungjoon Choi

Generating speech-consistent body and gesture movements is a long-standing problem in virtual avatar creation. Previous studies often synthesize pose movement in a holistic manner, where poses of all joints are generated simultaneously.…

Computer Vision and Pattern Recognition · Computer Science 2022-03-25 Xian Liu , Qianyi Wu , Hang Zhou , Yinghao Xu , Rui Qian , Xinyi Lin , Xiaowei Zhou , Wayne Wu , Bo Dai , Bolei Zhou

Whenever we speak, our voice is accompanied by facial movements and expressions. Several recent works have shown the synthesis of highly photo-realistic videos of talking faces, but they either require a source video to drive the target…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Prateek Manocha , Prithwijit Guha

In this paper, we introduce an innovative task focused on human communication, aiming to generate 3D holistic human motions for both speakers and listeners. Central to our approach is the incorporation of factorization to decouple audio…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Mingze Sun , Chao Xu , Xinyu Jiang , Yang Liu , Baigui Sun , Ruqi Huang