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Related papers: InterDyad: Interactive Dyadic Speech-to-Video Gene…

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Recent advances in diffusion models have led to significant progress in audio-driven lip synchronization. However, existing methods typically rely on constrained audio-visual alignment priors or multi-stage learning of intermediate…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Junxian Ma , Shiwen Wang , Jian Yang , Junyi Hu , Jian Liang , Guosheng Lin , Jingbo chen , Kai Li , Yu Meng

Talking head generation is to synthesize a lip-synchronized talking head video by inputting an arbitrary face image and corresponding audio clips. Existing methods ignore not only the interaction and relationship of cross-modal information,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Sen Chen , Zhilei Liu , Jiaxing Liu , Longbiao Wang

In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in response to a specific speaker behaviour. Then, how to develop…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Siyang Song , Micol Spitale , Cheng Luo , Cristina Palmero , German Barquero , Hengde Zhu , Sergio Escalera , Michel Valstar , Tobias Baur , Fabien Ringeval , Elisabeth Andre , Hatice Gunes

The dyadic reaction generation task involves synthesizing responsive facial reactions that align closely with the behaviors of a conversational partner, enhancing the naturalness and effectiveness of human-like interaction simulations. This…

Machine Learning · Computer Science 2025-05-14 Minh-Duc Nguyen , Hyung-Jeong Yang , Soo-Hyung Kim , Ji-Eun Shin , Seung-Won Kim

We present Social Agent, a novel framework for synthesizing realistic and contextually appropriate co-speech nonverbal behaviors in dyadic conversations. In this framework, we develop an agentic system driven by a Large Language Model (LLM)…

Graphics · Computer Science 2025-10-07 Zeyi Zhang , Yanju Zhou , Heyuan Yao , Tenglong Ao , Xiaohang Zhan , Libin Liu

End-to-end human animation with rich multi-modal conditions, e.g., text, image and audio has achieved remarkable advancements in recent years. However, most existing methods could only animate a single subject and inject conditions in a…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Zhenzhi Wang , Jiaqi Yang , Jianwen Jiang , Chao Liang , Gaojie Lin , Zerong Zheng , Ceyuan Yang , Yuan Zhang , Mingyuan Gao , Dahua Lin

Existing image-to-video generation methods often produce physically implausible motions and lack precise control over object dynamics. While prior approaches have incorporated physics simulators, they remain confined to 2D planar motions…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Tianyidan Xie , Zhentao Huang , Mingjie Wang , Xin Huang , Jun Zhou , Minglun Gong , Zili Yi

Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Balamurugan Thambiraja , Ikhsanul Habibie , Sadegh Aliakbarian , Darren Cosker , Christian Theobalt , Justus Thies

Currently, dialogue systems have achieved high performance in processing text-based communication. However, they have not yet effectively incorporated visual information, which poses a significant challenge. Furthermore, existing models…

Computation and Language · Computer Science 2023-12-19 Viktor Moskvoretskii , Anton Frolov , Denis Kuznetsov

Speech-driven 3D facial animation technology has been developed for years, but its practical application still lacks expectations. The main challenges lie in data limitations, lip alignment, and the naturalness of facial expressions.…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Xiangyu Liang , Wenlin Zhuang , Tianyong Wang , Guangxing Geng , Guangyue Geng , Haifeng Xia , Siyu Xia

The technical complexity of research papers often limits their reach, necessitating more accessible formats like scientific videos to disseminate key insights through engaging narration. However, existing automated methods primarily focus…

Artificial Intelligence · Computer Science 2026-04-22 Xiao Liang , Bangxin Li , Zixuan Chen , Hanyue Zheng , Zhi Ma , Di Wang , Cong Tian , Quan Wang

Interactive humanoid video generation aims to synthesize lifelike visual agents that can engage with humans through continuous and responsive video. Despite recent advances in video synthesis, existing methods often grapple with the…

Recent studies in speech-driven 3D talking head generation have achieved convincing results in verbal articulations. However, generating accurate lip-syncs degrades when applied to input speech in other languages, possibly due to the lack…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Kim Sung-Bin , Lee Chae-Yeon , Gihun Son , Oh Hyun-Bin , Janghoon Ju , Suekyeong Nam , Tae-Hyun Oh

Significant progress has been made in talking-face video generation research; however, precise lip-audio synchronization and high visual quality remain challenging in editing lip shapes based on input audio. This paper introduces JoyGen, a…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Qili Wang , Dajiang Wu , Zihang Xu , Junshi Huang , Jun Lv

In this paper, we address the challenge of procedure planning in instructional videos, aiming to generate coherent and task-aligned action sequences from start and end visual observations. Previous work has mainly relied on text-level…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Yufan Zhou , Zhaobo Qi , Lingshuai Lin , Junqi Jing , Tingting Chai , Beichen Zhang , Shuhui Wang , Weigang Zhang

Cross-modality generation is an emerging topic that aims to synthesize data in one modality based on information in a different modality. In this paper, we consider a task of such: given an arbitrary audio speech and one lip image of…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Lele Chen , Zhiheng Li , Ross K. Maddox , Zhiyao Duan , Chenliang Xu

Creating realistic, natural, and lip-readable talking face videos remains a formidable challenge. Previous research primarily concentrated on generating and aligning single-frame images while overlooking the smoothness of frame-to-frame…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Shuheng Ge , Haoyu Xing , Li Zhang , Xiangqian Wu

Given an arbitrary face image and an arbitrary speech clip, the proposed work attempts to generating the talking face video with accurate lip synchronization while maintaining smooth transition of both lip and facial movement over the…

Computer Vision and Pattern Recognition · Computer Science 2019-07-29 Yang Song , Jingwen Zhu , Dawei Li , Xiaolong Wang , Hairong Qi

Audio-driven human animation has attracted wide attention thanks to its practical applications. However, critical challenges remain in generating high-resolution, long-duration videos with consistent appearance and natural hand motions.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Xiaodi Li , Pan Xie , Yi Ren , Qijun Gan , Chen Zhang , Fangyuan Kong , Xiang Yin , Bingyue Peng , Zehuan Yuan

Traditional text-based person ReID assumes that person descriptions from witnesses are complete and provided at once. However, in real-world scenarios, such descriptions are often partial or vague. To address this limitation, we introduce a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Yiding Lu , Mouxing Yang , Dezhong Peng , Peng Hu , Yijie Lin , Xi Peng