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The development of increasingly realistic experimental stimuli and task environments is important for understanding behavior outside the laboratory. We report a process for generating 3D human model stimuli that combines commonly used…

Neurons and Cognition · Quantitative Biology 2016-06-17 Jean M. Vettel , Justin Kantner , Matthew Jaswa , Michael Miller

Humans naturally interact with their 3D surroundings using language, and modeling 3D language fields for scene understanding and interaction has gained growing interest. This paper introduces ChatSplat, a system that constructs a 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Hanlin Chen , Fangyin Wei , Gim Hee Lee

Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details. Neural volumetric representations approach photorealism but are hard to animate and do not…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Yufeng Zheng , Victoria Fernández Abrevaya , Marcel C. Bühler , Xu Chen , Michael J. Black , Otmar Hilliges

We present EmbodiedHead, a speech-driven talking-head framework that equips LLMs with real-time visual avatars for conversation. A practical embodied avatar must achieve real-time generation, unified listening-speaking behavior, and high…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Yu Zhang , Kaiyuan Shen , Yang Li

Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications. Existing methods are either limited to rigid object modeling, or not…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Jianfeng Zhang , Zihang Jiang , Dingdong Yang , Hongyi Xu , Yichun Shi , Guoxian Song , Zhongcong Xu , Xinchao Wang , Jiashi Feng

This paper addresses the problem of generating lifelike holistic co-speech motions for 3D avatars, focusing on two key aspects: variability and coordination. Variability allows the avatar to exhibit a wide range of motions even with similar…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Yifei Liu , Qiong Cao , Yandong Wen , Huaiguang Jiang , Changxing Ding

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intricate challenges of delivering high-fidelity human body…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Xinqi Liu , Chenming Wu , Jialun Liu , Xing Liu , Jinbo Wu , Chen Zhao , Haocheng Feng , Errui Ding , Jingdong Wang

Deriving co-speech 3D gestures has seen tremendous progress in virtual avatar animation. Yet, the existing methods often produce stiff and unreasonable gestures with unseen human speech inputs due to the limited 3D speech-gesture data. In…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Xingqun Qi , Hengyuan Zhang , Yatian Wang , Jiahao Pan , Chen Liu , Peng Li , Xiaowei Chi , Mengfei Li , Wei Xue , Shanghang Zhang , Wenhan Luo , Qifeng Liu , Yike Guo

Creating digital avatars from textual prompts has long been a desirable yet challenging task. Despite the promising results achieved with 2D diffusion priors, current methods struggle to create high-quality and consistent animated avatars…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Zhenglin Zhou , Fan Ma , Hehe Fan , Zongxin Yang , Yi Yang

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

Photorealistic and animatable human avatars are a key enabler for virtual/augmented reality, telepresence, and digital entertainment. While recent advances in 3D Gaussian Splatting (3DGS) have greatly improved rendering quality and…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Cheng Peng , Jingxiang Sun , Yushuo Chen , Zhaoqi Su , Zhuo Su , Yebin Liu

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Diego Thomas

Audio-driven facial reenactment is a crucial technique that has a range of applications in film-making, virtual avatars and video conferences. Existing works either employ explicit intermediate face representations (e.g., 2D facial…

Computer Vision and Pattern Recognition · Computer Science 2023-06-14 Ricong Huang , Peiwen Lai , Yipeng Qin , Guanbin Li

This paper aims to introduce 3D Gaussian for efficient, expressive, and editable digital avatar generation. This task faces two major challenges: (1) The unstructured nature of 3D Gaussian makes it incompatible with current generation…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Weitian Zhang , Yichao Yan , Yunhui Liu , Xingdong Sheng , Xiaokang Yang

Generating talking avatars is a fundamental task in video generation. Although existing methods can generate full-body talking avatars with simple human motion, extending this task to grounded human-object interaction (GHOI) remains an open…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Youliang Zhang , Zhengguang Zhou , Zhentao Yu , Ziyao Huang , Teng Hu , Sen Liang , Guozhen Zhang , Ziqiao Peng , Shunkai Li , Yi Chen , Zixiang Zhou , Yuan Zhou , Qinglin Lu , Xiu Li

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries. Compared to traditional text or voice-based system, ViDA-MAN offers human-like…

Computer Vision and Pattern Recognition · Computer Science 2021-10-27 Tong Shen , Jiawei Zuo , Fan Shi , Jin Zhang , Liqin Jiang , Meng Chen , Zhengchen Zhang , Wei Zhang , Xiaodong He , Tao Mei

Speech-driven 3D facial animation has recently garnered attention due to its cost-effective usability in multimedia production. However, most current advances overlook the intelligibility of lip movements, limiting the realism of facial…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Han EunGi , Oh Hyun-Bin , Kim Sung-Bin , Corentin Nivelet Etcheberry , Suekyeong Nam , Janghoon Joo , Tae-Hyun Oh

We present Better Together, a method that simultaneously solves the human pose estimation problem while reconstructing a photorealistic 3D human avatar from multi-view videos. While prior art usually solves these problems separately, we…

Computer Vision and Pattern Recognition · Computer Science 2025-03-13 Arthur Moreau , Mohammed Brahimi , Richard Shaw , Athanasios Papaioannou , Thomas Tanay , Zhensong Zhang , Eduardo Pérez-Pellitero

Realistic digital avatars require expressive and dynamic hair motion; however, most existing head avatar methods assume rigid hair movement. These methods often fail to disentangle hair from the head, representing it as a simple outer shell…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Berna Kabadayi , Vanessa Sklyarova , Wojciech Zielonka , Justus Thies , Gerard Pons-Moll