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The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely used for face recognition and always under controlled viewing conditions. We claim that this is a symptom of a serious but often overlooked…

Computer Vision and Pattern Recognition · Computer Science 2016-12-16 Anh Tuan Tran , Tal Hassner , Iacopo Masi , Gerard Medioni

Several video-based 3D pose and shape estimation algorithms have been proposed to resolve the temporal inconsistency of single-image-based methods. However it still remains challenging to have stable and accurate reconstruction. In this…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Ziwen Li , Bo Xu , Han Huang , Cheng Lu , Yandong Guo

We present a 3D-aware one-shot head reenactment method based on a fully volumetric neural disentanglement framework for source appearance and driver expressions. Our method is real-time and produces high-fidelity and view-consistent output,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Phong Tran , Egor Zakharov , Long-Nhat Ho , Anh Tuan Tran , Liwen Hu , Hao Li

Recovering the 3D geometric structure of a face from a single input image is a challenging active research area in computer vision. In this paper, we present a novel method for reconstructing 3D heads from a single or multiple image(s)…

Computer Vision and Pattern Recognition · Computer Science 2021-04-29 Oussema Bouafif , Bogdan Khomutenko , Mohamed Daoudi

Synthesizing 3D faces that give certain personality impressions is commonly needed in computer games, animations, and virtual world applications for producing realistic virtual characters. In this paper, we propose a novel approach to…

Graphics · Computer Science 2018-09-28 Yining Lang , Wei Liang , Yujia Wang , Lap-Fai Yu

We propose HeadOn, the first real-time source-to-target reenactment approach for complete human portrait videos that enables transfer of torso and head motion, face expression, and eye gaze. Given a short RGB-D video of the target actor, we…

Computer Vision and Pattern Recognition · Computer Science 2018-05-31 Justus Thies , Michael Zollhöfer , Christian Theobalt , Marc Stamminger , Matthias Nießner

Human reconstruction and synthesis from monocular RGB videos is a challenging problem due to clothing, occlusion, texture discontinuities and sharpness, and framespecific pose changes. Many methods employ deferred rendering, NeRFs and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Rohit Jena , Pratik Chaudhari , James Gee , Ganesh Iyer , Siddharth Choudhary , Brandon M. Smith

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

Human re-rendering from a single image is a starkly under-constrained problem, and state-of-the-art algorithms often exhibit undesired artefacts, such as over-smoothing, unrealistic distortions of the body parts and garments, or implausible…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Kripasindhu Sarkar , Dushyant Mehta , Weipeng Xu , Vladislav Golyanik , Christian Theobalt

3D assets are essential in the digital age. While automatic 3D generation, such as image-to-3d, has made significant strides in recent years, it often struggles to achieve fast, detailed, and high-fidelity generation simultaneously. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Huanning Dong , Yinuo Huang , Fan Li , Ping Kuang

Single-image 3D face reconstruction is a core problem in computer vision, with important clinical applications such as cephalometric landmark analysis in orthodontics. Traditionally, this analysis relies on lateral X-ray imaging; however,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Taiki Kanaya , Hideo Saito

Traditionally, creating photo-realistic 3D head avatars requires a studio-level multi-view capture setup and expensive optimization during test-time, limiting the use of digital human doubles to the VFX industry or offline renderings. To…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Tobias Kirschstein , Javier Romero , Artem Sevastopolsky , Matthias Nießner , Shunsuke Saito

The latest developments in 3D capturing, processing, and rendering provide means to unlock novel 3D application pathways. The main elements of an integrated platform, which target tele-immersion and future 3D applications, are described in…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Dimitrios S. Alexiadis , Anargyros Chatzitofis , Nikolaos Zioulis , Olga Zoidi , Georgios Louizis , Dimitrios Zarpalas , Petros Daras

Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. However, little research ever tapped into this task. We argue…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Menghua Wu , Hao Zhu , Linjia Huang , Yiyu Zhuang , Yuanxun Lu , Xun Cao

While recent works have achieved great success on image-to-3D object generation, high quality and fidelity 3D head generation from a single image remains a great challenge. Previous text-based methods for generating 3D heads were limited by…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Jinkun Hao , Junshu Tang , Jiangning Zhang , Ran Yi , Yijia Hong , Moran Li , Weijian Cao , Yating Wang , Chengjie Wang , Lizhuang Ma

Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast to most real-time capable approaches, our approach does not…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Max Hermann , Boitumelo Ruf , Martin Weinmann

From an image of a person, we can easily infer the natural 3D pose and shape of the person even if ambiguity exists. This is because we have a mental model that allows us to imagine a person's appearance at different viewing directions from…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Hanbyel Cho , Yooshin Cho , Jaesung Ahn , Junmo Kim

Real-time 3D face manipulation has significant applications in virtual reality, social media and human-computer interaction. This paper introduces a novel system, which we call Mirror of Diversity (MOD), that combines Generative Adversarial…

Graphics · Computer Science 2025-05-05 Paraskevi Valergaki , Antonis Argyros , Giorgos Giannakakis , Anastasios Roussos

Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-commerce applications such as virtual try-on or fit…

Computer Vision and Pattern Recognition · Computer Science 2014-11-20 Qiaosong Wang , Vignesh Jagadeesh , Bryan Ressler , Robinson Piramuthu

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challenging hair in images of clean-shaven subjects. To circumvent…

Computer Vision and Pattern Recognition · Computer Science 2020-04-16 Kyle Olszewski , Duygu Ceylan , Jun Xing , Jose Echevarria , Zhili Chen , Weikai Chen , Hao Li