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SmartAvatar is a vision-language-agent-driven framework for generating fully rigged, animation-ready 3D human avatars from a single photo or textual prompt. While diffusion-based methods have made progress in general 3D object generation,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-06 Alexander Huang-Menders , Xinhang Liu , Andy Xu , Yuyao Zhang , Chi-Keung Tang , Yu-Wing Tai

Stylized 3D avatars have become increasingly prominent in our modern life. Creating these avatars manually usually involves laborious selection and adjustment of continuous and discrete parameters and is time-consuming for average users.…

Computer Vision and Pattern Recognition · Computer Science 2022-11-16 Shen Sang , Tiancheng Zhi , Guoxian Song , Minghao Liu , Chunpong Lai , Jing Liu , Xiang Wen , James Davis , Linjie Luo

We study the problem of mapping an input image to a tied pair consisting of a vector of parameters and an image that is created using a graphical engine from the vector of parameters. The mapping's objective is to have the output image as…

Computer Vision and Pattern Recognition · Computer Science 2017-07-11 Lior Wolf , Yaniv Taigman , Adam Polyak

This paper presents a method that can quickly adapt dynamic 3D avatars to arbitrary text descriptions of novel styles. Among existing approaches for avatar stylization, direct optimization methods can produce excellent results for arbitrary…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Thu Nguyen-Phuoc , Gabriel Schwartz , Yuting Ye , Stephen Lombardi , Lei Xiao

We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of a person from a single unconstrained photo. While the input image can be of a smiling person or taken in extreme lighting conditions, our method can…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Huiwen Luo , Koki Nagano , Han-Wei Kung , Mclean Goldwhite , Qingguo Xu , Zejian Wang , Lingyu Wei , Liwen Hu , Hao Li

Video-driven 3D facial animation transfer aims to drive avatars to reproduce the expressions of actors. Existing methods have achieved remarkable results by constraining both geometric and perceptual consistency. However, geometric…

Graphics · Computer Science 2024-10-10 Feng Qiu , Wei Zhang , Chen Liu , Rudong An , Lincheng Li , Yu Ding , Changjie Fan , Zhipeng Hu , Xin Yu

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

Generating 3D human models directly from text helps reduce the cost and time of character modeling. However, achieving multi-attribute controllable and realistic 3D human avatar generation is still challenging due to feature coupling and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Chaoqun Gong , Yuqin Dai , Ronghui Li , Achun Bao , Jun Li , Jian Yang , Yachao Zhang , Xiu Li

Controllability, generalizability and efficiency are the major objectives of constructing face avatars represented by neural implicit field. However, existing methods have not managed to accommodate the three requirements simultaneously.…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Zhiyuan Ma , Xiangyu Zhu , Guojun Qi , Zhen Lei , Lei Zhang

We introduce SimAvatar, a framework designed to generate simulation-ready clothed 3D human avatars from a text prompt. Current text-driven human avatar generation methods either model hair, clothing, and the human body using a unified…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Xueting Li , Ye Yuan , Shalini De Mello , Gilles Daviet , Jonathan Leaf , Miles Macklin , Jan Kautz , Umar Iqbal

Face reenactment methods attempt to restore and re-animate portrait videos as realistically as possible. Existing methods face a dilemma in quality versus controllability: 2D GAN-based methods achieve higher image quality but suffer in…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Lizhen Wang , Xiaochen Zhao , Jingxiang Sun , Yuxiang Zhang , Hongwen Zhang , Tao Yu , Yebin Liu

Unsupervised generation of 3D-aware clothed humans with various appearances and controllable geometries is important for creating virtual human avatars and other AR/VR applications. Existing methods are either limited to rigid object…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Jianfeng Zhang , Zihang Jiang , Dingdong Yang , Hongyi Xu , Yichun Shi , Guoxian Song , Zhongcong Xu , Xinchao Wang , Jiashi Feng

While high fidelity and efficiency are central to the creation of digital head avatars, recent methods relying on 2D or 3D generative models often experience limitations such as shape distortion, expression inaccuracy, and identity…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Xiaochen Zhao , Jingxiang Sun , Lizhen Wang , Jinli Suo , Yebin Liu

Text-to-Avatar generation has recently made significant strides due to advancements in diffusion models. However, most existing work remains constrained by limited diversity, producing avatars with subtle differences in appearance for a…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Weijing Tao , Biwen Lei , Kunhao Liu , Shijian Lu , Miaomiao Cui , Xuansong Xie , Chunyan Miao

We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are key innovations aimed at overcoming the challenges in…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Armand Comas-Massagué , Di Qiu , Menglei Chai , Marcel Bühler , Amit Raj , Ruiqi Gao , Qiangeng Xu , Mark Matthews , Paulo Gotardo , Octavia Camps , Sergio Orts-Escolano , Thabo Beeler

Recent advances in photorealistic avatar generation have enabled highly realistic talking-head avatars, raising security concerns regarding identity impersonation in AI-mediated communication. To advance in this challenging problem, the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Laura Pedrouzo-Rodriguez , Luis F. Gomez , Ruben Tolosana , Ruben Vera-Rodriguez , Roberto Daza , Aythami Morales , Julian Fierrez

Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality is achieved by volumetric approaches trained in a person…

Computer Vision and Pattern Recognition · Computer Science 2021-01-08 Amit Raj , Michael Zollhoefer , Tomas Simon , Jason Saragih , Shunsuke Saito , James Hays , Stephen Lombardi

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in AR or VR. Despite the progress, facial avatars reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Berna Kabadayi , Wojciech Zielonka , Bharat Lal Bhatnagar , Gerard Pons-Moll , Justus Thies

Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional methods for avatar creation often involve time-consuming…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Keqiang Sun , Amin Jourabloo , Riddhish Bhalodia , Moustafa Meshry , Yu Rong , Zhengyu Yang , Thu Nguyen-Phuoc , Christian Haene , Jiu Xu , Sam Johnson , Hongsheng Li , Sofien Bouaziz

With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using default templates. This paper proposes a game character…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Tianyang Shi , Zhengxia Zou , Yi Yuan , Changjie Fan
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