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Similar to facial beautification in real life, 3D virtual avatars require personalized customization to enhance their visual appeal, yet this area remains insufficiently explored. Although current 3D Gaussian editing methods can be adapted…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Yiming Zhong , Xiaolin Zhang , Ligang Liu , Yao Zhao , Yunchao Wei

Facial expression and hand motions are necessary to express our emotions and interact with the world. Nevertheless, most of the 3D human avatars modeled from a casually captured video only support body motions without facial expressions and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-01 Gyeongsik Moon , Takaaki Shiratori , Shunsuke Saito

Real-time tracking of human body motion is crucial for interactive and immersive experiences in AR/VR. However, very limited sensor data about the body is available from standalone wearable devices such as HMDs (Head Mounted Devices) or AR…

Computer Vision and Pattern Recognition · Computer Science 2022-09-21 Alexander Winkler , Jungdam Won , Yuting Ye

Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing. To mitigate such cases, we propose a simple yet effective…

Computer Vision and Pattern Recognition · Computer Science 2018-11-13 Yang Fu , Yunchao Wei , Yuqian Zhou , Honghui Shi , Gao Huang , Xinchao Wang , Zhiqiang Yao , Thomas Huang

Although much progress has been made recently in 3D face reconstruction, most previous work has been devoted to predicting accurate and fine-grained 3D shapes. In contrast, relatively little work has focused on generating high-fidelity face…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Xiangnan Yin , Di Huang , Zehua Fu , Yunhong Wang , Liming Chen

This paper presents a simple yet powerful method for 3D human mesh reconstruction from a single RGB image. Most recently, the non-local interactions of the whole mesh vertices have been effectively estimated in the transformer while the…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Jeonghwan Kim , Mi-Gyeong Gwon , Hyunwoo Park , Hyukmin Kwon , Gi-Mun Um , Wonjun Kim

Critical VR applications in domains such as healthcare, education, and finance that use traditional credentials, such as PIN, password, or multi-factor authentication, stand the chance of being compromised if a malicious person acquires the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Mingjun Li , Natasha Kholgade Banerjee , Sean Banerjee

Whole-body mesh recovery aims to estimate the 3D human body, face, and hands parameters from a single image. It is challenging to perform this task with a single network due to resolution issues, i.e., the face and hands are usually located…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Jing Lin , Ailing Zeng , Haoqian Wang , Lei Zhang , Yu Li

Reconstructing detailed hand avatars plays a crucial role in various applications. While prior works have focused on capturing high-fidelity hand geometry, they heavily rely on high-resolution multi-view image inputs and struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Minje Kim , Tae-Kyun Kim

Photo-real digital human avatars are of enormous importance in graphics, as they enable immersive communication over the globe, improve gaming and entertainment experiences, and can be particularly beneficial for AR and VR settings.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Marc Habermann , Lingjie Liu , Weipeng Xu , Gerard Pons-Moll , Michael Zollhoefer , Christian Theobalt

Multi-view volumetric rendering techniques have recently shown great potential in modeling and synthesizing high-quality head avatars. A common approach to capture full head dynamic performances is to track the underlying geometry using a…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Kartik Teotia , Mallikarjun B R , Xingang Pan , Hyeongwoo Kim , Pablo Garrido , Mohamed Elgharib , Christian Theobalt

We present a system for realistic one-shot mesh-based human head avatars creation, ROME for short. Using a single photograph, our model estimates a person-specific head mesh and the associated neural texture, which encodes both local…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 Taras Khakhulin , Vanessa Sklyarova , Victor Lempitsky , Egor Zakharov

3D human body reconstruction has been a challenge in the field of computer vision. Previous methods are often time-consuming and difficult to capture the detailed appearance of the human body. In this paper, we propose a new method called…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Mingjin Chen , Junhao Chen , Xiaojun Ye , Huan-ang Gao , Xiaoxue Chen , Zhaoxin Fan , Hao Zhao

This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image. Most current methods in 3D hand analysis from monocular RGB images only focus on estimating the 3D locations of hand…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Liuhao Ge , Zhou Ren , Yuncheng Li , Zehao Xue , Yingying Wang , Jianfei Cai , Junsong Yuan

In this paper we predict a full 3D avatar of a person from a single image. We infer texture and geometry in the UV-space of the SMPL model using an image-to-image translation method. Given partial texture and segmentation layout maps…

Computer Vision and Pattern Recognition · Computer Science 2019-08-21 Verica Lazova , Eldar Insafutdinov , Gerard Pons-Moll

Designing of touchless user interface is gaining popularity in various contexts. Using such interfaces, users can interact with electronic devices even when the hands are dirty or non-conductive. Also, user with partial physical disability…

Human-Computer Interaction · Computer Science 2019-04-05 Abhik Singla , Partha Pratim Roy , Debi Prosad Dogra

Prior works for reconstructing hand-held objects from a single image train models on images paired with 3D shapes. Such data is challenging to gather in the real world at scale. Consequently, these approaches do not generalize well when…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Aditya Prakash , Matthew Chang , Matthew Jin , Ruisen Tu , Saurabh Gupta

Whole-body 3D human mesh estimation aims to reconstruct the 3D human body, hands, and face simultaneously. Although several methods have been proposed, accurate prediction of 3D hands, which consist of 3D wrist and fingers, still remains…

Computer Vision and Pattern Recognition · Computer Science 2022-04-20 Gyeongsik Moon , Hongsuk Choi , Kyoung Mu Lee

Recently proposed robust 3D face alignment methods establish either dense or sparse correspondence between a 3D face model and a 2D facial image. The use of these methods presents new challenges as well as opportunities for facial texture…

Computer Vision and Pattern Recognition · Computer Science 2017-12-14 Jiankang Deng , Shiyang Cheng , Niannan Xue , Yuxiang Zhou , Stefanos Zafeiriou

We propose a novel 3D morphable model for complete human heads based on hybrid neural fields. At the core of our model lies a neural parametric representation that disentangles identity and expressions in disjoint latent spaces. To this…

Computer Vision and Pattern Recognition · Computer Science 2023-04-17 Simon Giebenhain , Tobias Kirschstein , Markos Georgopoulos , Martin Rünz , Lourdes Agapito , Matthias Nießner