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Related papers: Instant Volumetric Head Avatars

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In this paper, we take a significant step towards real-world applicability of monocular neural avatar reconstruction by contributing InstantAvatar, a system that can reconstruct human avatars from a monocular video within seconds, and these…

Computer Vision and Pattern Recognition · Computer Science 2022-12-21 Tianjian Jiang , Xu Chen , Jie Song , Otmar Hilliges

Recent advances in full-head reconstruction have been obtained by optimizing a neural field through differentiable surface or volume rendering to represent a single scene. While these techniques achieve an unprecedented accuracy, they take…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Antonio Canela , Pol Caselles , Ibrar Malik , Eduard Ramon , Jaime García , Jordi Sánchez-Riera , Gil Triginer , Francesc Moreno-Noguer

An increasingly common approach for creating photo-realistic digital avatars is through the use of volumetric neural fields. The original neural radiance field (NeRF) allowed for impressive novel view synthesis of static heads when trained…

Computer Vision and Pattern Recognition · Computer Science 2023-12-07 Yingyan Xu , Prashanth Chandran , Sebastian Weiss , Markus Gross , Gaspard Zoss , Derek Bradley

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

We present Neural Head Avatars, a novel neural representation that explicitly models the surface geometry and appearance of an animatable human avatar that can be used for teleconferencing in AR/VR or other applications in the movie or…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Philip-William Grassal , Malte Prinzler , Titus Leistner , Carsten Rother , Matthias Nießner , Justus Thies

Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details. Neural volumetric representations approach photorealism but are hard to animate and do not…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Yufeng Zheng , Victoria Fernández Abrevaya , Marcel C. Bühler , Xu Chen , Michael J. Black , Otmar Hilliges

We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block for a variety of applications. Especially, for telepresence…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Guy Gafni , Justus Thies , Michael Zollhöfer , Matthias Nießner

We propose a method to learn a high-quality implicit 3D head avatar from a monocular RGB video captured in the wild. The learnt avatar is driven by a parametric face model to achieve user-controlled facial expressions and head poses. Our…

We propose 360{\deg} Volumetric Portrait (3VP) Avatar, a novel method for reconstructing 360{\deg} photo-realistic portrait avatars of human subjects solely based on monocular video inputs. State-of-the-art monocular avatar reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Jalees Nehvi , Berna Kabadayi , Julien Valentin , Justus Thies

We propose a method for synthesizing photo-realistic digital avatars from only one portrait as the reference. Given a portrait, our method synthesizes a coarse talking head video using driving keypoints features. And with the coarse video,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Shaoxu Li

Convenient 4D modeling of human-object interactions is essential for numerous applications. However, monocular tracking and rendering of complex interaction scenarios remain challenging. In this paper, we propose Instant-NVR, a neural…

Computer Vision and Pattern Recognition · Computer Science 2023-04-07 Yuheng Jiang , Kaixin Yao , Zhuo Su , Zhehao Shen , Haimin Luo , Lan Xu

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a pleasant and immersive experience in AR/VR and video conferencing applications. However, existing methods often struggle to model challenging facial…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Cong Wang , Di Kang , Yan-Pei Cao , Linchao Bao , Ying Shan , Song-Hai Zhang

We propose a novel neural rendering pipeline, Hybrid Volumetric-Textural Rendering (HVTR), which synthesizes virtual human avatars from arbitrary poses efficiently and at high quality. First, we learn to encode articulated human motions on…

Computer Vision and Pattern Recognition · Computer Science 2022-09-02 Tao Hu , Tao Yu , Zerong Zheng , He Zhang , Yebin Liu , Matthias Zwicker

Multi-view volumetric rendering techniques have recently shown great potential in modeling and synthesizing high-quality head avatars. A common approach to capture full head dynamic performances is to track the underlying geometry using a…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Kartik Teotia , Mallikarjun B R , Xingang Pan , Hyeongwoo Kim , Pablo Garrido , Mohamed Elgharib , Christian Theobalt

We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face models, our approach achieves controllable volumetric…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Safa C. Medin , Gengyan Li , Ziqian Bai , Ruofei Du , Leonhard Helminger , Yinda Zhang , Stephan J. Garbin , Philip L. Davidson , Gregory W. Wornell , Thabo Beeler , Abhimitra Meka

Coordinate-based volumetric representations have the potential to generate photo-realistic virtual avatars from images. However, virtual avatars also need to be controllable even to a novel pose that may not have been observed. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Ruilong Li , Julian Tanke , Minh Vo , Michael Zollhofer , Jurgen Gall , Angjoo Kanazawa , Christoph Lassner

We present a method for fast 3D reconstruction and real-time rendering of dynamic humans from monocular videos with accompanying parametric body fits. Our method can reconstruct a dynamic human in less than 3h using a single GPU, compared…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Ignacio Rocco , Iurii Makarov , Filippos Kokkinos , David Novotny , Benjamin Graham , Natalia Neverova , Andrea Vedaldi

Faithful real-time facial animation is essential for avatar-mediated telepresence in Virtual Reality (VR). To emulate authentic communication, avatar animation needs to be efficient and accurate: able to capture both extreme and subtle…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Shaojie Bai , Te-Li Wang , Chenghui Li , Akshay Venkatesh , Tomas Simon , Chen Cao , Gabriel Schwartz , Ryan Wrench , Jason Saragih , Yaser Sheikh , Shih-En Wei

High-fidelity digital human representations are increasingly in demand in the digital world, particularly for interactive telepresence, AR/VR, 3D graphics, and the rapidly evolving metaverse. Even though they work well in small spaces,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Zexu Huang , Sarah Monazam Erfani , Siying Lu , Mingming Gong

The ability to create realistic, animatable and relightable head avatars from casual video sequences would open up wide ranging applications in communication and entertainment. Current methods either build on explicit 3D morphable meshes…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Yufeng Zheng , Wang Yifan , Gordon Wetzstein , Michael J. Black , Otmar Hilliges
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