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Related papers: PVA: Pixel-aligned Volumetric Avatars

200 papers

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

Realistic digital avatars require expressive and dynamic hair motion; however, most existing head avatar methods assume rigid hair movement. These methods often fail to disentangle hair from the head, representing it as a simple outer shell…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Berna Kabadayi , Vanessa Sklyarova , Wojciech Zielonka , Justus Thies , Gerard Pons-Moll

As the digital and physical worlds become more intertwined, there has been a lot of interest in digital avatars that closely resemble their real-world counterparts. Current digitization methods used in 3D production pipelines require costly…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Yifan Wang , Ivan Molodetskikh , Ondrej Texler , Dimitar Dinev

Face inpainting is important in various applications, such as photo restoration, image editing, and virtual reality. Despite the significant advances in face generative models, ensuring that a person's unique facial identity is maintained…

Computer Vision and Pattern Recognition · Computer Science 2023-12-07 Jianjin Xu , Saman Motamed , Praneetha Vaddamanu , Chen Henry Wu , Christian Haene , Jean-Charles Bazin , Fernando de la Torre

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To address these difficulties, we propose a method to build an…

Computer Vision and Pattern Recognition · Computer Science 2021-10-07 Donglai Xiang , Fabian Prada , Timur Bagautdinov , Weipeng Xu , Yuan Dong , He Wen , Jessica Hodgins , Chenglei Wu

Creating human avatars is a highly desirable yet challenging task. Recent advancements in radiance field rendering have achieved unprecedented photorealism and real-time performance for personalized dynamic human avatars. However, these…

Graphics · Computer Science 2025-09-09 Dongliang Cao , Guoxing Sun , Marc Habermann , Florian Bernard

We present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1 to 6 RGB images. Despite impressive results from recent works employing deep implicit representation, we revisit the volumetric approach and…

Computer Vision and Pattern Recognition · Computer Science 2023-07-26 Sicong Tang , Guangyuan Wang , Qing Ran , Lingzhi Li , Li Shen , Ping Tan

Human shape estimation is an important task for video editing, animation and fashion industry. Predicting 3D human body shape from natural images, however, is highly challenging due to factors such as variation in human bodies, clothing and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Gül Varol , Duygu Ceylan , Bryan Russell , Jimei Yang , Ersin Yumer , Ivan Laptev , Cordelia Schmid

Computationally weak systems and demanding graphical applications are still mostly dependent on linear blendshapes for facial animations. The accompanying artifacts such as self-intersections, loss of volume, or missing soft tissue…

Graphics · Computer Science 2023-01-23 Nicolas Wagner , Ulrich Schwanecke , Mario Botsch

Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance. Intricate details and certain effects, such as subsurface…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Aljaž Božič , Denis Gladkov , Luke Doukakis , Christoph Lassner

The field of image-to-video generation has made remarkable progress. However, challenges such as human limb twisting and facial distortion persist, especially when generating long videos or modeling intensive motions. Existing human image…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Chang Liu , Mengting Chen , Yixuan Huang , Haoning Wu , Chen Ju , Shuai Xiao , Jinsong Lan , Yanfeng Wang

Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are almost indistinguishable from video. In this paper we describe…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Alexander Richard , Colin Lea , Shugao Ma , Juergen Gall , Fernando de la Torre , Yaser Sheikh

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

We present a novel method to learn Personalized Implicit Neural Avatars (PINA) from a short RGB-D sequence. This allows non-expert users to create a detailed and personalized virtual copy of themselves, which can be animated with realistic…

Computer Vision and Pattern Recognition · Computer Science 2022-04-11 Zijian Dong , Chen Guo , Jie Song , Xu Chen , Andreas Geiger , Otmar Hilliges

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

In this work, we enhance a professional end-to-end volumetric video production pipeline to achieve high-fidelity human body reconstruction using only passive cameras. While current volumetric video approaches estimate depth maps using…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Decai Chen , Markus Worchel , Ingo Feldmann , Oliver Schreer , Peter Eisert

Neural implicit fields are powerful for representing 3D scenes and generating high-quality novel views, but it remains challenging to use such implicit representations for creating a 3D human avatar with a specific identity and artistic…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Ruixiang Jiang , Can Wang , Jingbo Zhang , Menglei Chai , Mingming He , Dongdong Chen , Jing Liao

Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their real counterparts. The core technical challenge is two fold:…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Jianchun Chen , Jian Wang , Yinda Zhang , Rohit Pandey , Thabo Beeler , Marc Habermann , Christian Theobalt

Combining human body models with differentiable rendering has recently enabled animatable avatars of clothed humans from sparse sets of multi-view RGB videos. While state-of-the-art approaches achieve realistic appearance with neural…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Shaofei Wang , Katja Schwarz , Andreas Geiger , Siyu Tang

Animating virtual characters has always been a fundamental research problem in virtual reality (VR). Facial animations play a crucial role as they effectively convey emotions and attitudes of virtual humans. However, creating such facial…

Human-Computer Interaction · Computer Science 2024-02-22 Zechen Bai , Peng Chen , Xiaolan Peng , Lu Liu , Hui Chen , Mike Zheng Shou , Feng Tian