English
Related papers

Related papers: DreamHuman: Animatable 3D Avatars from Text

200 papers

In this work, we present DreamDance, a novel method for animating human images using only skeleton pose sequences as conditional inputs. Existing approaches struggle with generating coherent, high-quality content in an efficient and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Yatian Pang , Bin Zhu , Bin Lin , Mingzhe Zheng , Francis E. H. Tay , Ser-Nam Lim , Harry Yang , Li Yuan

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

Creating 3D shapes from 2D drawings is an important problem with applications in content creation for computer animation and virtual reality. We introduce a new sketch-based system, CreatureShop, that enables amateurs to create high-quality…

Existing single-image 3D human avatar methods primarily rely on rigid joint transformations, limiting their ability to model realistic cloth dynamics. We present DynaAvatar, a zero-shot framework that reconstructs animatable 3D human…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Joohyun Kwon , Geonhee Sim , Gyeongsik Moon

We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both the visible regions from input views and the unseen regions.…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Tong He , Yuanlu Xu , Shunsuke Saito , Stefano Soatto , Tony Tung

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

To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is difficult for existing methods to satisfy all the requirements…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Sijing Wu , Yichao Yan , Yunhao Li , Yuhao Cheng , Wenhan Zhu , Ke Gao , Xiaobo Li , Guangtao Zhai

Speech-driven 3D motion synthesis seeks to create lifelike animations based on human speech, with potential uses in virtual reality, gaming, and the film production. Existing approaches reply solely on speech audio for motion generation,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Wenshuo Peng , Kaipeng Zhang , Sai Qian Zhang

Creating high-fidelity 3D human head avatars is crucial for applications in VR/AR, digital human, and film production. Recent advances have leveraged morphable face models to generate animated head avatars from easily accessible data,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Yuelang Xu , Zhaoqi Su , Qingyao Wu , Yebin Liu

Animating various character drawings is an engaging visual content creation task. Given a single character drawing, existing animation methods are limited to flat 2D motions and thus lack 3D effects. An alternative solution is to…

Graphics · Computer Science 2024-09-16 Jie Zhou , Chufeng Xiao , Miu-Ling Lam , Hongbo Fu

This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving. Based on a parametric body model, we present a robust processing pipeline achieving 3D…

Computer Vision and Pattern Recognition · Computer Science 2018-04-17 Thiemo Alldieck , Marcus Magnor , Weipeng Xu , Christian Theobalt , Gerard Pons-Moll

Recent advances in text-to-3D scene generation have demonstrated significant potential to transform content creation across multiple industries. Although the research community has made impressive progress in addressing the challenges of…

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

We present a CloseUpAvatar - a novel approach for articulated human avatar representation dealing with more general camera motions, while preserving rendering quality for close-up views. CloseUpAvatar represents an avatar as a set of…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 David Svitov , Pietro Morerio , Lourdes Agapito , Alessio Del Bue

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

Virtual human animations have a wide range of applications in virtual and augmented reality. While automatic generation methods of animated virtual humans have been developed, assessing their quality remains challenging. Recently,…

Graphics · Computer Science 2025-11-17 Rim Rekik , Stefanie Wuhrer , Ludovic Hoyet , Katja Zibrek , Anne-Hélène Olivier

Constructing and animating humans is an important component for building virtual worlds in a wide variety of applications such as virtual reality or robotics testing in simulation. As there are exponentially many variations of humans with…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Ze Yang , Shenlong Wang , Sivabalan Manivasagam , Zeng Huang , Wei-Chiu Ma , Xinchen Yan , Ersin Yumer , Raquel Urtasun

We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of a subject. The foundation of our approach is anchored in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Francesca Babiloni , Alexandros Lattas , Jiankang Deng , Stefanos Zafeiriou

Generating personalized 3D avatars is crucial for AR/VR. However, recent text-to-3D methods that generate avatars for celebrities or fictional characters, struggle with everyday people. Methods for faithful reconstruction typically require…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Yuliang Xiu , Yufei Ye , Zhen Liu , Dimitrios Tzionas , Michael J. Black

Creating animatable 3D avatars from a single image remains challenging due to style limitations (realistic, cartoon, anime) and difficulties in handling accessories or hairstyles. While 3D diffusion models advance single-view reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Tingting Liao , Yujian Zheng , Adilbek Karmanov , Liwen Hu , Leyang Jin , Yuliang Xiu , Hao Li