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We present a single-image head mesh reconstruction framework that addresses the longstanding challenge of simultaneously preserving facial identity and producing industry-grade topology. Our framework adopts a coarse-to-fine optimization…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Yunmu Wang , Zoubin Bi , Bowen Cai , Chenchu Rong , Jinlong Wang , Junchen Deng , Aocheng Huang , Jidong Jia , Huan Fu

Compared with contact-based fingerprint acquisition techniques, contactless acquisition has the advantages of less skin distortion, larger fingerprint area, and hygienic acquisition. However, perspective distortion is a challenge in…

Computer Vision and Pattern Recognition · Computer Science 2022-05-03 Zhe Cui , Jianjiang Feng , Jie Zhou

Monocular 3D face reconstruction is a wide-spread topic, and existing approaches tackle the problem either through fast neural network inference or offline iterative reconstruction of face geometry. In either case carefully-designed energy…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Christopher Otto , Prashanth Chandran , Gaspard Zoss , Markus Gross , Paulo Gotardo , Derek Bradley

Aiming at inferring 3D shapes from 2D images, 3D shape reconstruction has drawn huge attention from researchers in computer vision and deep learning communities. However, it is not practical to assume that 2D input images and their…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Yi-Lun Liao , Yao-Cheng Yang , Yu-Chiang Frank Wang

From a single image, humans are able to perceive the full 3D shape of an object by exploiting learned shape priors from everyday life. Contemporary single-image 3D reconstruction algorithms aim to solve this task in a similar fashion, but…

Computer Vision and Pattern Recognition · Computer Science 2018-12-31 Xiuming Zhang , Zhoutong Zhang , Chengkai Zhang , Joshua B. Tenenbaum , William T. Freeman , Jiajun Wu

Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editing flexibility. In this work, we propose a new approach that…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Jingxiang Sun , Xuan Wang , Yichun Shi , Lizhen Wang , Jue Wang , Yebin Liu

Eyeglasses play an important role in the perception of identity. Authentic virtual representations of faces can benefit greatly from their inclusion. However, modeling the geometric and appearance interactions of glasses and the face of…

Computer Vision and Pattern Recognition · Computer Science 2023-02-10 Junxuan Li , Shunsuke Saito , Tomas Simon , Stephen Lombardi , Hongdong Li , Jason Saragih

Facial makeup enriches the beauty of not only real humans but also virtual characters; therefore, makeup for 3D facial models is highly in demand in productions. However, painting directly on 3D faces and capturing real-world makeup are…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Xingchao Yang , Takafumi Taketomi , Yoshihiro Kanamori

Generic 3D reconstruction from a single image is a difficult problem. A lot of data loss occurs in the projection. A domain based approach to reconstruction where we solve a smaller set of problems for a particular use case lead to greater…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Atishay Jain

The convergence of generative artificial intelligence and advanced computer vision technologies introduces a groundbreaking approach to transforming textual descriptions into three-dimensional representations. This research proposes a fully…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Venkat Kumar R , Deepak Saravanan

Facial alignment involves finding a set of landmark points on an image with a known semantic meaning. However, this semantic meaning of landmark points is often lost in 2D approaches where landmarks are either moved to visible boundaries or…

Computer Vision and Pattern Recognition · Computer Science 2017-09-11 Chandrasekhar Bhagavatula , Chenchen Zhu , Khoa Luu , Marios Savvides

3D reconstruction from single view images is an ill-posed problem. Inferring the hidden regions from self-occluded images is both challenging and ambiguous. We propose a two-pronged approach to address these issues. To better incorporate…

Computer Vision and Pattern Recognition · Computer Science 2019-03-27 Priyanka Mandikal , K L Navaneet , Mayank Agarwal , R. Venkatesh Babu

Caricature is an artistic abstraction of the human face by distorting or exaggerating certain facial features, while still retains a likeness with the given face. Due to the large diversity of geometric and texture variations, automatic…

Computer Vision and Pattern Recognition · Computer Science 2021-03-09 Hongrui Cai , Yudong Guo , Zhuang Peng , Juyong Zhang

In this paper, we present a learning-based approach for recovering the 3D geometry of human head from a single portrait image. Our method is learned in an unsupervised manner without any ground-truth 3D data. We represent the head geometry…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Sicheng Xu , Jiaolong Yang , Dong Chen , Fang Wen , Yu Deng , Yunde Jia , Xin Tong

This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry shape and texture of human clothing from a single image. Compared with existing methods, we observe that three primary challenges…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Zhedong Zheng , Jiayin Zhu , Wei Ji , Yi Yang , Tat-Seng Chua

Reconstructing the 3D mesh of a general object from a single image is now possible thanks to the latest advances of deep learning technologies. However, due to the nontrivial difficulty of generating a feasible mesh structure, the…

Computer Vision and Pattern Recognition · Computer Science 2019-09-04 Junyi Pan , Xiaoguang Han , Weikai Chen , Jiapeng Tang , Kui Jia

We present a versatile model, FaceAnime, for various video generation tasks from still images. Video generation from a single face image is an interesting problem and usually tackled by utilizing Generative Adversarial Networks (GANs) to…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Xiaoguang Tu , Yingtian Zou , Jian Zhao , Wenjie Ai , Jian Dong , Yuan Yao , Zhikang Wang , Guodong Guo , Zhifeng Li , Wei Liu , Jiashi Feng

Head-mounted displays (HMDs) are essential for experiencing extended reality (XR) environments and observing virtual content. However, they obscure the upper part of the user's face, complicating external video recording and significantly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Fatemeh Ghorbani Lohesara , Karen Eguiazarian , Sebastian Knorr

In this paper, we examine 3 important issues in the practical use of state-of-the-art facial landmark detectors and show how a combination of specific architectural modifications can directly improve their accuracy and temporal stability.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Prashanth Chandran , Gaspard Zoss , Paulo Gotardo , Derek Bradley

3D Morphable Models (3DMMs) provide promising 3D face reconstructions in various applications. However, existing methods struggle to reconstruct faces with extreme expressions due to deficiencies in supervisory signals, such as sparse or…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Zidu Wang , Xiangyu Zhu , Tianshuo Zhang , Baiqin Wang , Zhen Lei
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