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Related papers: 3D statistical facial reconstruction

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In recent advances of deep generative models, face reenactment -manipulating and controlling human face, including their head movement-has drawn much attention for its wide range of applicability. Despite its strong expressiveness, it is…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Takuya Yashima , Takuya Narihira , Tamaki Kojima

One of the serious issues in communication between people is hiding information from others, and the best way for this, is deceiving them. Since nowadays face images are mostly used in three dimensional format, in this paper we are going to…

Multimedia · Computer Science 2018-01-19 Mohsen Moradi , Mohammad-Reza Sadeghi

Reconstructing 3D face from a single unconstrained image remains a challenging problem due to diverse conditions in unconstrained environments. Recently, learning-based methods have achieved notable results by effectively capturing complex…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Danling Cao

A computer aided maxillofacial sequence is presented, applied to orthognatic surgery. It consists of 5 main stages: data acquisition and integration, surgical planning, surgical simulation, and per operative assistance. The planning and…

Medical Physics · Physics 2007-05-23 Matthieu Chabanas , Christophe Marecaux , Yohan Payan , Franck Boutault

Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more accurately, landmarks are often combined with additional…

3D scene reconstruction from 2D images is one of the most important tasks in computer graphics. Unfortunately, existing datasets and benchmarks concentrate on idealized synthetic or meticulously captured realistic data. Such benchmarks fail…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Weronika Smolak-Dyżewska , Dawid Malarz , Grzegorz Wilczyński , Rafał Tobiasz , Joanna Waczyńska , Piotr Borycki , Przemysław Spurek

Generating realistic human 3D reconstructions using image or video data is essential for various communication and entertainment applications. While existing methods achieved impressive results for body and facial regions, realistic hair…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Vanessa Sklyarova , Jenya Chelishev , Andreea Dogaru , Igor Medvedev , Victor Lempitsky , Egor Zakharov

Deep learning methods have brought many breakthroughs to computer vision, especially in 2D face recognition. However, the bottleneck of deep learning based 3D face recognition is that it is difficult to collect millions of 3D faces, whether…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Cuican Yu , Zihui Zhang , Huibin Li

We present a novel method to jointly learn a 3D face parametric model and 3D face reconstruction from diverse sources. Previous methods usually learn 3D face modeling from one kind of source, such as scanned data or in-the-wild images.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-10 Yudong Guo , Lin Cai , Juyong Zhang

Even though 3D face reconstruction has achieved impressive progress, most orthogonal projection-based face reconstruction methods can not achieve accurate and consistent reconstruction results when the face is very close to the camera due…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Jia Guo , Jinke Yu , Alexandros Lattas , Jiankang Deng

3D face reconstruction from a single image is a task that has garnered increased interest in the Computer Vision community, especially due to its broad use in a number of applications such as realistic 3D avatar creation, pose invariant…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Stylianos Ploumpis , Stylianos Moschoglou , Vasileios Triantafyllou , Stefanos Zafeiriou

Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. Nevertheless, with the help of convolutional neural networks (CNN) and prior knowledge on the 3D human body, it is possible to overcome such…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Hayato Onizuka , Zehra Hayirci , Diego Thomas , Akihiro Sugimoto , Hideaki Uchiyama , Rin-ichiro Taniguchi

Three-dimensional (3D) reconstruction has emerged as a prominent area of research, attracting significant attention from academia and industry alike. Among the various applications of 3D reconstruction, facial reconstruction poses some of…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Sankarshan Dasgupta

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D results, but typically only for near frontal, unobstructed viewpoints. We describe a system designed to provide detailed 3D reconstructions of faces…

Computer Vision and Pattern Recognition · Computer Science 2018-04-02 Anh Tuan Tran , Tal Hassner , Iacopo Masi , Eran Paz , Yuval Nirkin , Gerard Medioni

We present an end-to-end virtual try-on pipeline, that can fit different clothes on a personalized 3-D human model, reconstructed using a single RGB image. Our main idea is to construct an animatable 3-D human model and try-on different…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Gayal Kuruppu , Bumuthu Dilshan , Shehan Samarasinghe , Nipuna Madhushan , Ranga Rodrigo

Surface reconstruction from magnetic resonance (MR) imaging data is indispensable in medical image analysis and clinical research. A reliable and effective reconstruction tool should: be fast in prediction of accurate well localised and…

Computer Vision and Pattern Recognition · Computer Science 2020-11-22 Katarína Tóthová , Sarah Parisot , Matthew Lee , Esther Puyol-Antón , Andrew King , Marc Pollefeys , Ender Konukoglu

3D face reconstruction from a single image is a challenging problem, especially under partial occlusions and extreme poses. This is because the uncertainty of the estimated 2D landmarks will affect the quality of face reconstruction. In…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Kun Li , Jing Yang , Nianhong Jiao , Jinsong Zhang , Yu-Kun Lai

This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as…

Computer Vision and Pattern Recognition · Computer Science 2018-04-24 Zhen-Hua Feng , Patrik Huber , Josef Kittler , Peter JB Hancock , Xiao-Jun Wu , Qijun Zhao , Paul Koppen , Matthias Rätsch

Every year, thousands of people suffer from skull damage and require personalized implants to fill the cranial cavity. Unfortunately, the waiting time for reconstruction surgery can extend to several weeks or even months, especially in less…

Image and Video Processing · Electrical Eng. & Systems 2024-11-27 Marek Wodzinski , Mateusz Daniol , Daria Hemmerling

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu
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