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Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical interaction and its non-trivial visual appearance.Yet, hair is a critical component for believable avatars. In this…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Ziyan Wang , Giljoo Nam , Tuur Stuyck , Stephen Lombardi , Michael Zollhoefer , Jessica Hodgins , Christoph Lassner

Real-time hair simulation is a vital component in creating believable virtual avatars, as it provides a sense of immersion and authenticity. The dynamic behavior of hair, such as bouncing or swaying in response to character movements like…

Graphics · Computer Science 2025-07-08 Gene Wei-Chin Lin , Egor Larionov , Hsiao-yu Chen , Doug Roble , Tuur Stuyck

Hair plays a significant role in personal identity and appearance, making it an essential component of high-quality, photorealistic avatars. Existing approaches either focus on modeling the facial region only or rely on personalized models,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Ziyan Wang , Giljoo Nam , Aljaz Bozic , Chen Cao , Jason Saragih , Michael Zollhoefer , Jessica Hodgins

The creation of photorealistic dynamic hair remains a major challenge in digital human modeling because of the complex motions, occlusions, and light scattering. Existing methods often resort to static capture and physics-based models that…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Junying Wang , Yuanlu Xu , Edith Tretschk , Ziyan Wang , Anastasia Ianina , Aljaz Bozic , Ulrich Neumann , Tony Tung

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

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

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

Hair care is an essential daily activity, yet it remains inaccessible to individuals with limited mobility and challenging for autonomous robot systems due to the fine-grained physical structure and complex dynamics of hair. In this work,…

We propose a novel approach to animate human hair in a still portrait photo. Existing work has largely studied the animation of fluid elements such as water and fire. However, hair animation for a real image remains underexplored, which is…

Computer Vision and Pattern Recognition · Computer Science 2023-09-26 Wenpeng Xiao , Wentao Liu , Yitong Wang , Bernard Ghanem , Bing Li

The appearance of a human in clothing is driven not only by the pose but also by its temporal context, i.e., motion. However, such context has been largely neglected by existing monocular human modeling methods whose neural networks often…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Hansol Lee , Junuk Cha , Yunhoe Ku , Jae Shin Yoon , Seungryul Baek

A vital task of the wider digital human effort is the creation of realistic garments on digital avatars, both in the form of characteristic fold patterns and wrinkles in static frames as well as richness of garment dynamics under avatars'…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Meng Zhang , Duygu Ceylan , Tuanfeng Wang , Niloy J. Mitra

We present a new approach for video-driven animation of high-quality neural 3D head models, addressing the challenge of person-independent animation from video input. Typically, high-quality generative models are learned for specific…

Computer Vision and Pattern Recognition · Computer Science 2024-03-08 Wolfgang Paier , Paul Hinzer , Anna Hilsmann , Peter Eisert

We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing methods successfully control body pose, they lack specific control over hair, and as a result,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-12 Di Chang , Ji Hou , Aljaz Bozic , Assaf Neuberger , Felix Juefei-Xu , Olivier Maury , Gene Wei-Chin Lin , Tuur Stuyck , Doug Roble , Mohammad Soleymani , Stephane Grabli

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

Pose-driven full-body avatars built on neural rendering produce high-quality novel views of a captured subject. Yet loose clothing and other dynamic elements deform in ways pose alone cannot explain: the same pose can correspond to many…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Shichong Peng , Chengxiang Yin , Fei Jiang , Zhongshi Jiang , Lingchen Yang , Qingyang Tan , Amin Jourabloo , Jason Saragih , Ke Li , Christian Häne

We present Neural Strands, a novel learning framework for modeling accurate hair geometry and appearance from multi-view image inputs. The learned hair model can be rendered in real-time from any viewpoint with high-fidelity view-dependent…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Radu Alexandru Rosu , Shunsuke Saito , Ziyan Wang , Chenglei Wu , Sven Behnke , Giljoo Nam

Simulating hair dynamics that generalize across arbitrary hairstyles, body shapes, and motions is a critical challenge. Our novel two-stage neural solution is the first to leverage Transformer-based architectures for such a broad…

Graphics · Computer Science 2025-07-18 Joy Xiaoji Zhang , Jingsen Zhu , Hanyu Chen , Steve Marschner

Hand-drawn character animation is a vibrant field in computer graphics, presenting challenges in achieving geometric consistency while conveying expressive motion. Traditional skeletal animation methods maintain geometric consistency but…

Graphics · Computer Science 2025-09-09 Jie Zhou , Linzi Qu , Miu-Ling Lam , Hongbo Fu

Audio-driven 3D facial animation has several virtual humans applications for content creation and editing. While several existing methods provide solutions for speech-driven animation, precise control over content (what) and style (how) of…

Sound · Computer Science 2024-08-15 Qingju Liu , Hyeongwoo Kim , Gaurav Bharaj

Undoubtedly, high-fidelity 3D hair plays an indispensable role in digital humans. However, existing monocular hair modeling methods are either tricky to deploy in digital systems (e.g., due to their dependence on complex user interactions…

Graphics · Computer Science 2022-05-10 Keyu Wu , Yifan Ye , Lingchen Yang , Hongbo Fu , Kun Zhou , Youyi Zheng
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