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Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in AR or VR. Despite the progress, facial avatars reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Berna Kabadayi , Wojciech Zielonka , Bharat Lal Bhatnagar , Gerard Pons-Moll , Justus Thies

Reconstructing photorealistic and dynamic portrait avatars from images is essential to many applications including advertising, visual effects, and virtual reality. Depending on the application, avatar reconstruction involves different…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Felix Taubner , Ruihang Zhang , Mathieu Tuli , David B. Lindell

Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality is achieved by volumetric approaches trained in a person…

Computer Vision and Pattern Recognition · Computer Science 2021-01-08 Amit Raj , Michael Zollhoefer , Tomas Simon , Jason Saragih , Shunsuke Saito , James Hays , Stephen Lombardi

Modern avatar generators allow anyone to synthesize photorealistic real-time talking avatars, ushering in a new era of avatar-based human communication, such as with immersive AR/VR interactions or videoconferencing with limited bandwidths.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ekta Prashnani , Koki Nagano , Shalini De Mello , David Luebke , Orazio Gallo

Sparse volumetric reconstruction and rendering via 3D Gaussian splatting have recently enabled animatable 3D head avatars that are rendered under arbitrary viewpoints with impressive photorealism. Today, such photoreal avatars are seen as a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-12 Gengyan Li , Paulo Gotardo , Timo Bolkart , Stephan Garbin , Kripasindhu Sarkar , Abhimitra Meka , Alexandros Lattas , Thabo Beeler

In this research paper we suggest how to extract a face from an image, modify it, characterize it in terms of high-level properties, and apply it to the creation of a personalized avatar. In this research work we tested, we implemented the…

Computer Vision and Pattern Recognition · Computer Science 2012-10-24 Vibekananda Dutta , Dr Nishtha Kesswani , Deepti Gahalot

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

Creating photorealistic avatars for individuals traditionally involves extensive capture sessions with complex and expensive studio devices like the LightStage system. While recent strides in neural representations have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 ShahRukh Athar , Shunsuke Saito , Zhengyu Yang , Stanislav Pidhorsky , Chen Cao

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

Enabling photorealistic avatar animations in virtual and augmented reality (VR/AR) has been challenging because of the difficulty of obtaining ground truth state of faces. It is physically impossible to obtain synchronized images from…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Shaojie Bai , Seunghyeon Seo , Yida Wang , Chenghui Li , Owen Wang , Te-Li Wang , Tianyang Ma , Jason Saragih , Shih-En Wei , Nojun Kwak , Hyung Jun Kim

We propose a neural rendering-based system that creates head avatars from a single photograph. Our approach models a person's appearance by decomposing it into two layers. The first layer is a pose-dependent coarse image that is synthesized…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Egor Zakharov , Aleksei Ivakhnenko , Aliaksandra Shysheya , Victor Lempitsky

We introduce AvatarBooth, a novel method for generating high-quality 3D avatars using text prompts or specific images. Unlike previous approaches that can only synthesize avatars based on simple text descriptions, our method enables the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-19 Yifei Zeng , Yuanxun Lu , Xinya Ji , Yao Yao , Hao Zhu , Xun Cao

We present a novel method for high detail-preserving human avatar creation from monocular video. A parameterized body model is refined and optimized to maximally resemble subjects from a video showing them from all sides. Our avatars…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Thiemo Alldieck , Marcus Magnor , Weipeng Xu , Christian Theobalt , Gerard Pons-Moll

Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications. Existing methods are either limited to rigid object modeling, or not…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Jianfeng Zhang , Zihang Jiang , Dingdong Yang , Hongyi Xu , Yichun Shi , Guoxian Song , Zhongcong Xu , Xinchao Wang , Jiashi Feng

Recent work on image anonymization has shown that generative adversarial networks (GANs) can generate near-photorealistic faces to anonymize individuals. However, scaling up these networks to the entire human body has remained a challenging…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Håkon Hukkelås , Morten Smebye , Rudolf Mester , Frank Lindseth

An ideal digital telepresence experience requires accurate replication of a person's body, clothing, and movements. To capture and transfer these movements into virtual reality, the egocentric (first-person) perspective can be adopted,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 G. Kutay Türkoglu , Julian Tanke , Iheb Belgacem , Lev Markhasin

We present AvatarPopUp, a method for fast, high quality 3D human avatar generation from different input modalities, such as images and text prompts and with control over the generated pose and shape. The common theme is the use of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Nikos Kolotouros , Thiemo Alldieck , Enric Corona , Eduard Gabriel Bazavan , Cristian Sminchisescu

The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as input, which are often impractical to obtain in real-world…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Muyao Niu , Yifan Zhan , Qingtian Zhu , Zhuoxiao Li , Wei Wang , Zhihang Zhong , Xiao Sun , Yinqiang Zheng

With recent advancements in neural rendering and motion capture algorithms, remarkable progress has been made in photorealistic human avatar modeling, unlocking immense potential for applications in virtual reality, augmented reality,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Hendrik Junkawitsch , Guoxing Sun , Heming Zhu , Christian Theobalt , Marc Habermann

Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional methods for avatar creation often involve time-consuming…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Keqiang Sun , Amin Jourabloo , Riddhish Bhalodia , Moustafa Meshry , Yu Rong , Zhengyu Yang , Thu Nguyen-Phuoc , Christian Haene , Jiu Xu , Sam Johnson , Hongsheng Li , Sofien Bouaziz