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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

We present MoGA, a novel method to reconstruct high-fidelity 3D Gaussian avatars from a single-view image. The main challenge lies in inferring unseen appearance and geometric details while ensuring 3D consistency and realism. Most previous…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Zijian Dong , Longteng Duan , Jie Song , Michael J. Black , Andreas Geiger

In this paper, we introduce GaussianMotion, a novel human rendering model that generates fully animatable scenes aligned with textual descriptions using Gaussian Splatting. Although existing methods achieve reasonable text-to-3D generation…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Gyumin Shim , Sangmin Lee , Jaegul Choo

Recent advances in generative diffusion models have enabled the previously unfeasible capability of generating 3D assets from a single input image or a text prompt. In this work, we aim to enhance the quality and functionality of these…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Xiyi Chen , Marko Mihajlovic , Shaofei Wang , Sergey Prokudin , Siyu Tang

To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively for listening and speaking and a Generative Adversarial…

Computer Vision and Pattern Recognition · Computer Science 2019-08-22 Zezhou Chen , Zhaoxiang Liu , Huan Hu , Jinqiang Bai , Shiguo Lian , Fuyuan Shi , Kai Wang

We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint. The core idea is a dynamic 3D representation based on 3D Gaussian splats that are…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Shenhan Qian , Tobias Kirschstein , Liam Schoneveld , Davide Davoli , Simon Giebenhain , Matthias Nießner

Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of the human head to date that includes face, cranium, ears,…

Computer Vision and Pattern Recognition · Computer Science 2020-02-21 Stylianos Ploumpis , Evangelos Ververas , Eimear O' Sullivan , Stylianos Moschoglou , Haoyang Wang , Nick Pears , William A. P. Smith , Baris Gecer , Stefanos Zafeiriou

While there has been significant progress in the field of 3D avatar creation from visual observations, modeling physically plausible dynamics of humans with loose garments remains a challenging problem. Although a few existing works address…

Graphics · Computer Science 2025-10-03 Changmin Lee , Jihyun Lee , Tae-Kyun Kim

Modeling 3D objects in domains like Computer Aided Design (CAD) is time-consuming and comes with a steep learning curve needed to master the design process as well as tool complexities. In order to simplify the modeling process, we designed…

Human-Computer Interaction · Computer Science 2020-11-19 Markus Friedrich , Stefan Langer , Fabian Frey

The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence. With the gradually…

Artificial Intelligence · Computer Science 2022-07-05 Hao Wang , Bin Guo , Yating Zeng , Yasan Ding , Chen Qiu , Ying Zhang , Lina Yao , Zhiwen Yu

A key challenge in 3D talking head synthesis lies in the reliance on a long-duration talking head video to train a new model for each target identity from scratch. Recent methods have attempted to address this issue by extracting general…

Computer Vision and Pattern Recognition · Computer Science 2025-08-21 Yuhang Guo , Kaijun Deng , Siyang Song , Jindong Xie , Wenhui Ma , Linlin Shen

In recent years, there has been significant interest in creating 3D avatars and motions, driven by their diverse applications in areas like film-making, video games, AR/VR, and human-robot interaction. However, current efforts primarily…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Zeyu Zhang , Yiran Wang , Biao Wu , Shuo Chen , Zhiyuan Zhang , Shiya Huang , Wenbo Zhang , Meng Fang , Ling Chen , Yang Zhao

Speech-driven 3D facial animation aims to generate realistic lip movements and facial expressions for 3D head models from arbitrary audio clips. Although existing diffusion-based methods are capable of producing natural motions, their slow…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Xuangeng Chu , Nabarun Goswami , Ziteng Cui , Hanqin Wang , Tatsuya Harada

Reconstructing high-fidelity 3D head avatars is crucial in various applications such as virtual reality. The pioneering methods reconstruct realistic head avatars with Neural Radiance Fields (NeRF), which have been limited by training and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Peng Chen , Xiaobao Wei , Qingpo Wuwu , Xinyi Wang , Xingyu Xiao , Ming Lu

In face-to-face conversations, individuals need to switch between speaking and listening roles seamlessly. Existing 3D talking head generation models focus solely on speaking or listening, neglecting the natural dynamics of interactive…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Ziqiao Peng , Yanbo Fan , Haoyu Wu , Xuan Wang , Hongyan Liu , Jun He , Zhaoxin Fan

The body movements accompanying speech aid speakers in expressing their ideas. Co-speech motion generation is one of the important approaches for synthesizing realistic avatars. Due to the intricate correspondence between speech and motion,…

Multimedia · Computer Science 2024-08-28 Sen Wang , Jiangning Zhang , Xin Tan , Zhifeng Xie , Chengjie Wang , Lizhuang Ma

Speech-driven facial animation methods usually contain two main classes, 3D and 2D talking face, both of which attract considerable research attention in recent years. However, to the best of our knowledge, the research on 3D talking face…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Yixiang Zhuang , Baoping Cheng , Yao Cheng , Yuntao Jin , Renshuai Liu , Chengyang Li , Xuan Cheng , Jing Liao , Juncong Lin

LLaVA-Interactive is a research prototype for multimodal human-AI interaction. The system can have multi-turn dialogues with human users by taking multimodal user inputs and generating multimodal responses. Importantly, LLaVA-Interactive…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Wei-Ge Chen , Irina Spiridonova , Jianwei Yang , Jianfeng Gao , Chunyuan Li

Creating a high-fidelity, animatable 3D full-body avatar from a single image is a challenging task due to the diverse appearance and poses of humans and the limited availability of high-quality training data. To achieve fast and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Yiyu Zhuang , Jiaxi Lv , Hao Wen , Qing Shuai , Ailing Zeng , Hao Zhu , Shifeng Chen , Yujiu Yang , Xun Cao , Wei Liu

Digital human avatars aim to simulate the dynamic appearance of humans in virtual environments, enabling immersive experiences across gaming, film, virtual reality, and more. However, the conventional process for creating and animating…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Felix Taubner , Ruihang Zhang , Mathieu Tuli , Sherwin Bahmani , David B. Lindell