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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

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

Generating and editing dynamic 3D head avatars are crucial tasks in virtual reality and film production. However, existing methods often suffer from facial distortions, inaccurate head movements, and limited fine-grained editing…

Graphics · Computer Science 2024-11-26 Yangyang Qian , Yuan Sun , Yu Guo

DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person, offering intuitive control over both pose and expression. We propose a diffusion-based neural renderer that leverages generic 2D priors to produce compelling images of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Tobias Kirschstein , Simon Giebenhain , Matthias Nießner

We present DreamWaltz, a novel framework for generating and animating complex 3D avatars given text guidance and parametric human body prior. While recent methods have shown encouraging results for text-to-3D generation of common objects,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Yukun Huang , Jianan Wang , Ailing Zeng , He Cao , Xianbiao Qi , Yukai Shi , Zheng-Jun Zha , Lei Zhang

Creating expressive, diverse and high-quality 3D avatars from highly customized text descriptions and pose guidance is a challenging task, due to the intricacy of modeling and texturing in 3D that ensure details and various styles…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Huichao Zhang , Bowen Chen , Hao Yang , Liao Qu , Xu Wang , Li Chen , Chao Long , Feida Zhu , Kang Du , Min Zheng

Creating dynamic, view-consistent videos of customized subjects is highly sought after for a wide range of emerging applications, including immersive VR/AR, virtual production, and next-generation e-commerce. However, despite rapid progress…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Hyun-kyu Ko , Jihyeon Park , Younghyun Kim , Dongheok Park , Eunbyung Park

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

Human video generation task has gained significant attention with the advancement of deep generative models. Generating realistic videos with human movements is challenging in nature, due to the intricacies of human body topology and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Zhangsihao Yang , Mengyi Shan , Mohammad Farazi , Wenhui Zhu , Yanxi Chen , Xuanzhao Dong , Yalin Wang

The rising demand for creating lifelike avatars in the digital realm has led to an increased need for generating high-quality human videos guided by textual descriptions and poses. We propose Dancing Avatar, designed to fabricate human…

Computer Vision and Pattern Recognition · Computer Science 2023-08-16 Bosheng Qin , Wentao Ye , Qifan Yu , Siliang Tang , Yueting Zhuang

Despite the remarkable process of talking-head-based avatar-creating solutions, directly generating anchor-style videos with full-body motions remains challenging. In this study, we propose Make-Your-Anchor, a novel system necessitating…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Ziyao Huang , Fan Tang , Yong Zhang , Xiaodong Cun , Juan Cao , Jintao Li , Tong-Yee Lee

Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images. However, existing personalization approaches usually require heavy test-time finetuning for each concept,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-10 Jing Shi , Wei Xiong , Zhe Lin , Hyun Joon Jung

Recent advances in diffusion models such as ControlNet have enabled geometrically controllable, high-fidelity text-to-image generation. However, none of them addresses the question of adding such controllability to text-to-3D generation. In…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Sungwon Hwang , Junha Hyung , Jaegul Choo

Recent large-scale text-to-image generation models have made significant improvements in the quality, realism, and diversity of the synthesized images and enable users to control the created content through language. However, the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Samaneh Azadi , Thomas Hayes , Akbar Shah , Guan Pang , Devi Parikh , Sonal Gupta

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

The creation of 3D human face avatars from a single unconstrained image is a fundamental task that underlies numerous real-world vision and graphics applications. Despite the significant progress made in generative models, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Wenqing Wang , Haosen Yang , Josef Kittler , Xiatian Zhu

Creating high-quality 3D avatars using 3D Gaussian Splatting (3DGS) from a monocular video benefits virtual reality and telecommunication applications. However, existing automatic methods exhibit artifacts under novel poses due to limited…

Human-Computer Interaction · Computer Science 2024-12-23 Jotaro Sakamiya , I-Chao Shen , Jinsong Zhang , Mustafa Doga Dogan , Takeo Igarashi

Two major approaches exist for creating animatable human avatars. The first, a 3D-based approach, optimizes a NeRF- or 3DGS-based avatar from videos of a single person, achieving personalization through a disentangled identity…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Geonhee Sim , Gyeongsik Moon

Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying detailed expressions and emotions of the avatar, making the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Yuchi Wang , Junliang Guo , Jianhong Bai , Runyi Yu , Tianyu He , Xu Tan , Xu Sun , Jiang Bian

We propose PFAvatar (Pose-Fusion Avatar), a new method that reconstructs high-quality 3D avatars from Outfit of the Day(OOTD) photos, which exhibit diverse poses, occlusions, and complex backgrounds. Our method consists of two stages: (1)…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Dianbing Xi , Guoyuan An , Jingsen Zhu , Zhijian Liu , Yuan Liu , Ruiyuan Zhang , Jiayuan Lu , Yuchi Huo , Rui Wang