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Digital human avatars aim to simulate the dynamic appearance of humans in virtual environments, enabling immersive experiences across gaming, film, virtual reality, and more. However, the conventional process for creating and animating…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Felix Taubner , Ruihang Zhang , Mathieu Tuli , Sherwin Bahmani , David B. Lindell

We propose a deep videorealistic 3D human character model displaying highly realistic shape, motion, and dynamic appearance learned in a new weakly supervised way from multi-view imagery. In contrast to previous work, our controllable 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Marc Habermann , Lingjie Liu , Weipeng Xu , Michael Zollhoefer , Gerard Pons-Moll , Christian Theobalt

In recent years, 3D vision has become a crucial field within computer vision, powering a wide range of applications such as autonomous driving, robotics, augmented reality, and medical imaging. This field relies on accurate perception,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Zhen Wang , Dongyuan Li , Yaozu Wu , Tianyu He , Jiang Bian , Renhe Jiang

Learning an animatable and clothed human avatar model with vivid dynamics and photorealistic appearance from multi-view videos is an important foundational research problem in computer graphics and vision. Fueled by recent advances in…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Heming Zhu , Guoxing Sun , Christian Theobalt , Marc Habermann

We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morphable Model (3DMM) based facial reconstruction, the settings…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Fanzi Wu , Linchao Bao , Yajing Chen , Yonggen Ling , Yibing Song , Songnan Li , King Ngi Ngan , Wei Liu

Depictions of similar human body configurations can vary with changing viewpoints. Using only 2D information, we would like to enable vision algorithms to recognize similarity in human body poses across multiple views. This ability is…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Jennifer J. Sun , Jiaping Zhao , Liang-Chieh Chen , Florian Schroff , Hartwig Adam , Ting Liu

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 recover the underlying 3D structure from images of cartoons and anime depicting the same scene. This is an interesting problem domain because images in creative media are often depicted without explicit geometric consistency for…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Ethan Weber , Riley Peterlinz , Rohan Mathur , Frederik Warburg , Alexei A. Efros , Angjoo Kanazawa

A 3D caricature is an exaggerated 3D depiction of a human face. The goal of this paper is to model the variations of 3D caricatures in a compact parameter space so that we can provide a useful data-driven toolkit for handling 3D caricature…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Yucheol Jung , Wonjong Jang , Soongjin Kim , Jiaolong Yang , Xin Tong , Seungyong Lee

Cartoons are an important part of our entertainment culture. Though drawing a cartoon is not for everyone, creating it using an arrangement of basic geometric primitives that approximates that character is a fairly frequent technique in…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Simanta Deb Turja , Mohammad Imrul Jubair , Md. Shafiur Rahman , Md. Hasib Al Zadid , Mohtasim Hossain Shovon , Md. Faraz Kabir Khan

High-quality reconstruction of controllable 3D head avatars from 2D videos is highly desirable for virtual human applications in movies, games, and telepresence. Neural implicit fields provide a powerful representation to model 3D head…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Chuhan Chen , Matthew O'Toole , Gaurav Bharaj , Pablo Garrido

Reconstructing 3D human heads in low-view settings presents technical challenges, mainly due to the pronounced risk of overfitting with limited views and high-frequency signals. To address this, we propose geometry decomposition and adopt a…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Baixin Xu , Jiarui Zhang , Kwan-Yee Lin , Chen Qian , Ying He

We propose an interactive 3D character modeling approach from orthographic drawings (e.g., front and side views) based on 2D-space annotations. First, the system builds partial correspondences between the input drawings and generates a base…

Computer Vision and Pattern Recognition · Computer Science 2022-01-28 Zhengyu Huang , Haoran Xie , Tsukasa Fukusato

While 2D diffusion models have achieved remarkable success in identity-preserving personalization, extending this capability to 3D assets remains a significant challenge due to the complexities of multi-view consistency and spatial control.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Jinxin Ai , Matthias Nießner , Ziya Erkoç

Video generation models have made significant progress in generating realistic content, enabling applications in simulation, gaming, and film making. However, current generated videos still contain visual artifacts arising from 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Duolikun Danier , Ge Gao , Steven McDonagh , Changjian Li , Hakan Bilen , Oisin Mac Aodha

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

Drag-based editing has become popular in 2D content creation, driven by the capabilities of image generative models. However, extending this technique to 3D remains a challenge. Existing 3D drag-based editing methods, whether employing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Honghua Chen , Yushi Lan , Yongwei Chen , Yifan Zhou , Xingang Pan

Animating various character drawings is an engaging visual content creation task. Given a single character drawing, existing animation methods are limited to flat 2D motions and thus lack 3D effects. An alternative solution is to…

Graphics · Computer Science 2024-09-16 Jie Zhou , Chufeng Xiao , Miu-Ling Lam , Hongbo Fu

The task of shape abstraction with semantic part consistency is challenging due to the complex geometries of natural objects. Recent methods learn to represent an object shape using a set of simple primitives to fit the target.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Di Liu , Long Zhao , Qilong Zhangli , Yunhe Gao , Ting Liu , Dimitris N. Metaxas

Manipulation planning is the problem of finding a sequence of robot configurations that involves interactions with objects in the scene, e.g., grasping and placing an object, or more general tool-use. To achieve such interactions,…

Robotics · Computer Science 2022-08-01 Jung-Su Ha , Danny Driess , Marc Toussaint