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Despite the growing accessibility of skeletal motion data, integrating it for animating character meshes remains challenging due to diverse configurations of both skeletons and meshes. Specifically, the body scale and bone lengths of the…

Graphics · Computer Science 2025-03-19 Seokhyeon Hong , Soojin Choi , Chaelin Kim , Sihun Cha , Junyong Noh

In this pilot project, we teamed up with artists to develop new workflows for 2D animation while producing a short educational cartoon. We identified several workflows to streamline the animation process, bringing the artists' vision to the…

Graphics · Computer Science 2024-05-24 Jaime Guajardo , Ozgun Bursalioglu , Dan B Goldman

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Diego Thomas

We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides in generation, but are still lacking in important aspects.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Nikos Kolotouros , Thiemo Alldieck , Andrei Zanfir , Eduard Gabriel Bazavan , Mihai Fieraru , Cristian Sminchisescu

Robots should learn new tasks from humans. But how do humans convey what they want the robot to do? Existing methods largely rely on humans physically guiding the robot arm throughout their intended task. Unfortunately -- as we scale up the…

Robotics · Computer Science 2025-05-20 Shaunak A. Mehta , Heramb Nemlekar , Hari Sumant , Dylan P. Losey

Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user's motion is that commercial AR/VR products consist only of a headset and controllers,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Daniele Reda , Jungdam Won , Yuting Ye , Michiel van de Panne , Alexander Winkler

The development of increasingly realistic experimental stimuli and task environments is important for understanding behavior outside the laboratory. We report a process for generating 3D human model stimuli that combines commonly used…

Neurons and Cognition · Quantitative Biology 2016-06-17 Jean M. Vettel , Justin Kantner , Matthew Jaswa , Michael Miller

3D facial animation is often produced by manipulating facial deformation models (or rigs), that are traditionally parameterized by expression controls. A key component that is usually overlooked is expression 'style', as in, how a…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Lingchen Yang , Gaspard Zoss , Prashanth Chandran , Paulo Gotardo , Markus Gross , Barbara Solenthaler , Eftychios Sifakis , Derek Bradley

While progress in 2D generative models of human appearance has been rapid, many applications require 3D avatars that can be animated and rendered. Unfortunately, most existing methods for learning generative models of 3D humans with diverse…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Zijian Dong , Xu Chen , Jinlong Yang , Michael J. Black , Otmar Hilliges , Andreas Geiger

Creating believable motions for various characters has long been a goal in computer graphics. Current learning-based motion synthesis methods depend on extensive motion datasets, which are often challenging, if not impossible, to obtain. On…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Qingqing Zhao , Peizhuo Li , Wang Yifan , Olga Sorkine-Hornung , Gordon Wetzstein

3D modeling has long been an important area in computer vision and computer graphics. Recently, thanks to the breakthroughs in neural representations and generative models, we witnessed a rapid development of 3D modeling. 3D human modeling,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Ruihe Wang , Yukang Cao , Kai Han , Kwan-Yee K. Wong

Real-time rendering of high-fidelity and animatable avatars from monocular videos remains a challenging problem in computer vision and graphics. Over the past few years, the Neural Radiance Field (NeRF) has made significant progress in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Qipeng Yan , Mingyang Sun , Lihua Zhang

Animating an object in 3D often requires an articulated structure, e.g. a kinematic chain or skeleton of the manipulated object with proper skinning weights, to obtain smooth movements and surface deformations. However, existing models that…

Computer Vision and Pattern Recognition · Computer Science 2023-04-17 Tianshu Kuai , Akash Karthikeyan , Yash Kant , Ashkan Mirzaei , Igor Gilitschenski

Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approaches address this challenge with computationally efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Kartik Teotia , Hyeongwoo Kim , Pablo Garrido , Marc Habermann , Mohamed Elgharib , Christian Theobalt

Recent progress in video diffusion models has markedly advanced character animation, which synthesizes motioned videos by animating a static identity image according to a driving video. Explicit methods represent motion using skeleton,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Zhufeng Xu , Xuan Gao , Feng-Lin Liu , Haoxian Zhang , Zhixue Fang , Yu-Kun Lai , Xiaoqiang Liu , Pengfei Wan , Lin Gao

Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories. Recently, differentiable rendering provides a pathway to obtain…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Gengshan Yang , Chaoyang Wang , N Dinesh Reddy , Deva Ramanan

Unsupervised generation of 3D-aware clothed humans with various appearances and controllable geometries is important for creating virtual human avatars and other AR/VR applications. Existing methods are either limited to rigid object…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Jianfeng Zhang , Zihang Jiang , Dingdong Yang , Hongyi Xu , Yichun Shi , Guoxian Song , Zhongcong Xu , Xinchao Wang , Jiashi Feng

Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2D image data. Although these models are highly generalizable…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Yiyu Zhuang , Yuxiao He , Jiawei Zhang , Yanwen Wang , Jiahe Zhu , Yao Yao , Siyu Zhu , Xun Cao , Hao Zhu

Animating realistic avatars requires using high quality animations for every possible state the avatar can be in. This includes actions like walking or running, but also subtle movements that convey emotions and personality. Idle…

Human-Computer Interaction · Computer Science 2026-05-13 Eneko Atxa Landa , Elena Lazkano , Igor Rodriguez , Itsaso Rodríguez-Moreno , Itziar Irigoien

Caricature is a type of artistic style of human faces that attracts considerable attention in the entertainment industry. So far a few 3D caricature generation methods exist and all of them require some caricature information (e.g., a…

Computer Vision and Pattern Recognition · Computer Science 2021-11-16 Zipeng Ye , Mengfei Xia , Yanan Sun , Ran Yi , Minjing Yu , Juyong Zhang , Yu-Kun Lai , Yong-jin Liu