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Recent advances in text-driven human motion generation enable models to synthesize realistic motion sequences from natural language descriptions. However, most existing approaches assume identity-neutral motion and generate movements using…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Wenqi Jia , Zekun Li , Abhay Mittal , Chengcheng Tang , Chuan Guo , Lezi Wang , James Matthew Rehg , Lingling Tao , Size An

We propose TextToon, a method to generate a drivable toonified avatar. Given a short monocular video sequence and a written instruction about the avatar style, our model can generate a high-fidelity toonified avatar that can be driven in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Luchuan Song , Lele Chen , Celong Liu , Pinxin Liu , Chenliang Xu

We introduce AV-Flow, an audio-visual generative model that animates photo-realistic 4D talking avatars given only text input. In contrast to prior work that assumes an existing speech signal, we synthesize speech and vision jointly. We…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Aggelina Chatziagapi , Louis-Philippe Morency , Hongyu Gong , Michael Zollhoefer , Dimitris Samaras , Alexander Richard

Building realistic and animatable avatars still requires minutes of multi-view or monocular self-rotating videos, and most methods lack precise control over gestures and expressions. To push this boundary, we address the challenge of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Jun Xiang , Yudong Guo , Leipeng Hu , Boyang Guo , Yancheng Yuan , Juyong Zhang

The ability to generate diverse 3D articulated head avatars is vital to a plethora of applications, including augmented reality, cinematography, and education. Recent work on text-guided 3D object generation has shown great promise in…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Alexander W. Bergman , Wang Yifan , Gordon Wetzstein

With the rising interest from the community in digital avatars coupled with the importance of expressions and gestures in communication, modeling natural avatar behavior remains an important challenge across many industries such as…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Kefan Chen , Sergiu Oprea , Justin Theiss , Sreyas Mohan , Srinath Sridhar , Aayush Prakash

Spatio-temporal Human-Object Interaction (ST-HOI) understanding aims at detecting HOIs from videos, which is crucial for activity understanding. However, existing whole-body-object interaction video benchmarks overlook the truth that…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Xiaoyang Liu , Boran Wen , Xinpeng Liu , Zizheng Zhou , Hongwei Fan , Cewu Lu , Lizhuang Ma , Yulong Chen , Yong-Lu Li

This paper explores a cross-modality synthesis task that infers 3D human-object interactions (HOIs) from a given text-based instruction. Existing text-to-HOI synthesis methods mainly deploy a direct mapping from texts to object-specific 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Xuehao Gao , Yang Yang , Shaoyi Du , Yang Wu , Yebin Liu , Guo-Jun Qi

Modern avatar generators allow anyone to synthesize photorealistic real-time talking avatars, ushering in a new era of avatar-based human communication, such as with immersive AR/VR interactions or videoconferencing with limited bandwidths.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ekta Prashnani , Koki Nagano , Shalini De Mello , David Luebke , Orazio Gallo

Significant progress has been made in audio-driven human animation, while most existing methods focus mainly on facial movements, limiting their ability to create full-body animations with natural synchronization and fluidity. They also…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Qijun Gan , Ruizi Yang , Jianke Zhu , Shaofei Xue , Steven Hoi

Existing video avatar models have demonstrated impressive capabilities in scenarios such as talking, public speaking, and singing. However, the majority of these methods exhibit limited alignment with respect to text instructions,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Ruikui Wang , Jinheng Feng , Lang Tian , Huaishao Luo , Chaochao Li , Liangbo Zhou , Huan Zhang , Youzheng Wu , Xiaodong He

Synthesizing realistic human-object interactions (HOI) in video is challenging due to the complex, instance-specific interaction dynamics of both humans and objects. Incorporating controllability in video generation further adds to the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Wanyue Zhang , Lin Geng Foo , Thabo Beeler , Rishabh Dabral , Christian Theobalt

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 work presents Interactive Conversational 3D Virtual Human (ICo3D), a method for generating an interactive, conversational, and photorealistic 3D human avatar. Based on multi-view captures of a subject, we create an animatable 3D face…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Richard Shaw , Youngkyoon Jang , Athanasios Papaioannou , Arthur Moreau , Helisa Dhamo , Zhensong Zhang , Eduardo Pérez-Pellitero

Generative models have advanced rapidly, enabling impressive talking head generation that brings AI to life. However, most existing methods focus solely on one-way portrait animation. Even the few that support bidirectional conversational…

Audio and Speech Processing · Electrical Eng. & Systems 2025-11-25 Haijie Yang , Zhenyu Zhang , Hao Tang , Jianjun Qian , Jian Yang

Pretrained video generation models provide strong priors for robot control, but existing unified world action models still struggle to decode reliable actions without substantial robot-specific training. We attribute this limitation to a…

Robotics · Computer Science 2026-04-14 Liaoyuan Fan , Zetian Xu , Chen Cao , Wenyao Zhang , Mingqi Yuan , Jiayu Chen

We introduce AvatarBooth, a novel method for generating high-quality 3D avatars using text prompts or specific images. Unlike previous approaches that can only synthesize avatars based on simple text descriptions, our method enables the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-19 Yifei Zeng , Yuanxun Lu , Xinya Ji , Yao Yao , Hao Zhu , Xun Cao

Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, textual and vocal conversation generation has achieved a significant breakthrough. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-15 Yichao Yan , Zanwei Zhou , Zi Wang , Jingnan Gao , Xiaokang Yang

Avatars on displays lack the ability to engage with the physical environment through gaze. To address this limitation, we propose a gaze synthesis method that enables animated avatars to establish gaze communication with the physical…

Human-Computer Interaction · Computer Science 2025-03-11 Kazuya Izumi , Shuhey Koyama , Yoichi Ochiai

Human-centric video generation has advanced rapidly, yet existing methods struggle to produce controllable and physically consistent Human-Object Interaction (HOI) videos. Existing works rely on dense control signals, template videos, or…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Jiazhi Guan , Quanwei Yang , Luying Huang , Junhao Liang , Borong Liang , Haocheng Feng , Wei He , Kaisiyuan Wang , Hang Zhou , Jingdong Wang