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3D face reconstruction is an important task in the field of computer vision. Although 3D face reconstruction has being developing rapidly in recent years, it is still a challenge for face reconstruction under large pose. That is because…

Computer Vision and Pattern Recognition · Computer Science 2018-11-14 Lei Jiang , XiaoJun Wu , Josef Kittler

The 3D Morphable Model (3DMM), which is a Principal Component Analysis (PCA) based statistical model that represents a 3D face using linear basis functions, has shown promising results for reconstructing 3D faces from single-view…

Computer Vision and Pattern Recognition · Computer Science 2021-08-17 Harim Jung , Myeong-Seok Oh , Seong-Whan Lee

Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm. However, reconstructing a 3D caricature from a 2D caricature image remains a challenging task,…

Computer Vision and Pattern Recognition · Computer Science 2021-03-16 Yuda Qiu , Xiaojie Xu , Lingteng Qiu , Yan Pan , Yushuang Wu , Weikai Chen , Xiaoguang Han

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 an approach to generate high fidelity 3D face avatar with a high-resolution UV texture map from a single image. To estimate the face geometry, we use a deep neural network to directly predict vertex coordinates of the 3D face…

Computer Vision and Pattern Recognition · Computer Science 2019-12-10 Ruizhe Wang , Chih-Fan Chen , Hao Peng , Xudong Liu , Oliver Liu , Xin Li

One challenge that remains open in 3D deep learning is how to efficiently represent 3D data to feed deep networks. Recent works have relied on volumetric or point cloud representations, but such approaches suffer from a number of issues…

Computer Vision and Pattern Recognition · Computer Science 2019-01-25 Jhony K. Pontes , Chen Kong , Sridha Sridharan , Simon Lucey , Anders Eriksson , Clinton Fookes

We present a unified framework for reconstructing animatable 3D human avatars from a single portrait across head, half-body, and full-body inputs. Our method tackles three bottlenecks: pose- and framing-sensitive feature representations,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Jiawei Zhang , Lei Chu , Jiahao Li , Zhenyu Zang , Chong Li , Xiao Li , Xun Cao , Hao Zhu , Yan Lu

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Shu Zhang , Hui Yu , Ting Wang , Junyu Dong , Honghai Liu

Existing face aging methods often focus on modeling either texture aging or using an entangled shape-texture representation to achieve face aging. However, shape and texture are two distinct factors that mutually affect the human face aging…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Qianrui Teng , Rui Wang , Xing Cui , Peipei Li , Zhaofeng He

In this paper, we first present the character texture generation system \textit{Minecraft-ify}, specified to Minecraft video game toward in-game application. Ours can generate face-focused image for texture mapping tailored to 3D virtual…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Bumsoo Kim , Sanghyun Byun , Yonghoon Jung , Wonseop Shin , Sareer UI Amin , Sanghyun Seo

The estimation of 3D human body pose and shape from a single image has been extensively studied in recent years. However, the texture generation problem has not been fully discussed. In this paper, we propose an end-to-end learning strategy…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Jian Wang , Yunshan Zhong , Yachun Li , Chi Zhang , Yichen Wei

This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining the advantages of the high accuracy of optimization-based methods and the efficiency of learning-based methods, we propose a coarse-to-fine way to…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Tingting Liao , Xiaomei Zhang , Yuliang Xiu , Hongwei Yi , Xudong Liu , Guo-Jun Qi , Yong Zhang , Xuan Wang , Xiangyu Zhu , Zhen Lei

One-shot 3D talking portrait generation aims to reconstruct a 3D avatar from an unseen image, and then animate it with a reference video or audio to generate a talking portrait video. The existing methods fail to simultaneously achieve the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Zhenhui Ye , Tianyun Zhong , Yi Ren , Jiaqi Yang , Weichuang Li , Jiawei Huang , Ziyue Jiang , Jinzheng He , Rongjie Huang , Jinglin Liu , Chen Zhang , Xiang Yin , Zejun Ma , Zhou Zhao

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo 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

Facial animation is one of the most challenging problems in computer graphics, and it is often solved using linear heuristics like blend-shape rigging. More expressive approaches like physical simulation have emerged, but these methods are…

Graphics · Computer Science 2019-07-25 Yeara Kozlov , Hongyi Xu , Moritz Bächer , Derek Bradley , Markus Gross , Thabo Beeler

3D rendering of dynamic face captures is a challenging problem, and it demands improvements on several fronts$\unicode{x2014}$photorealism, efficiency, compatibility, and configurability. We present a novel representation that enables…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Safa C. Medin , Gengyan Li , Ruofei Du , Stephan Garbin , Philip Davidson , Gregory W. Wornell , Thabo Beeler , Abhimitra Meka

3D textured face reconstruction from sketches applicable in many scenarios such as animation, 3D avatars, artistic design, missing people search, etc., is a highly promising but underdeveloped research topic. On the one hand, the stylistic…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Zidu Wang , Xiangyu Zhu , Jiang Yu , Tianshuo Zhang , Zhen Lei

This paper proposes an encoder-decoder network to disentangle shape features during 3D face reconstruction from single 2D images, such that the tasks of reconstructing accurate 3D face shapes and learning discriminative shape features for…

Computer Vision and Pattern Recognition · Computer Science 2018-04-02 Feng Liu , Ronghang Zhu , Dan Zeng , Qijun Zhao , Xiaoming Liu

We present a deep learning pipeline that leverages network self-prior to recover a full 3D model consisting of both a triangular mesh and a texture map from the colored 3D point cloud. Different from previous methods either exploiting 2D…

Computer Vision and Pattern Recognition · Computer Science 2021-08-25 Xingkui Wei , Zhengqing Chen , Yanwei Fu , Zhaopeng Cui , Yinda Zhang