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We propose a self-supervised approach for learning physics-based subspaces for real-time simulation. Existing learning-based methods construct subspaces by approximating pre-defined simulation data in a purely geometric way. However, this…

Machine Learning · Computer Science 2024-04-30 Jiahong Wang , Yinwei Du , Stelian Coros , Bernhard Thomaszewski

Free-form bones, that conform closely to the surface, can effectively capture non-rigid deformations, but lack a kinematic structure necessary for intuitive control. Thus, we propose a Scaffold-Skin Rigging System, termed "Skelebones", with…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Jiaxin Wang , Dongxin Lyu , Zeyu Cai , Zhiyang Dou , Cheng Lin , Anpei Chen , Yuliang Xiu

Animating a newly designed character using motion capture (mocap) data is a long standing problem in computer animation. A key consideration is the skeletal structure that should correspond to the available mocap data, and the shape…

Graphics · Computer Science 2021-05-07 Peizhuo Li , Kfir Aberman , Rana Hanocka , Libin Liu , Olga Sorkine-Hornung , Baoquan Chen

To be suitable for film-quality animation, rigs for character deformation must fulfill a broad set of requirements. They must be able to create highly stylized deformation, allow a wide variety of controls to permit artistic freedom, and…

Graphics · Computer Science 2020-08-19 Steven L. Song , Weiqi Shi , Michael Reed

This work presents a novel physics-informed deep learning based super-resolution framework to reconstruct high-resolution deformation fields from low-resolution counterparts, obtained from coarse mesh simulations or experiments. We leverage…

Machine Learning · Computer Science 2022-11-24 Rajat Arora

In this paper, we present an advanced approach to solving the inverse rig problem in blendshape animation, using high-quality corrective blendshapes. Our algorithm introduces novel enhancements in three key areas: ensuring high data…

Graphics · Computer Science 2024-01-31 Stevo Racković , Cláudia Soares , Dušan Jakovetić

Existing data-driven methods for garment animation, usually driven by linear skinning, although effective on tight garments, do not handle loose-fitting garments with complex deformations well. To address these limitations, we develop a…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Yifu Liu , Xiaoxia Li , Zhiling Luo , Wei Zhou

This paper addresses the challenge of reconstructing an animatable human model from a multi-view video. Some recent works have proposed to decompose a non-rigidly deforming scene into a canonical neural radiance field and a set of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-05 Sida Peng , Zhen Xu , Junting Dong , Qianqian Wang , Shangzhan Zhang , Qing Shuai , Hujun Bao , Xiaowei Zhou

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

3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of…

Signal Processing · Electrical Eng. & Systems 2021-11-22 Gerasimos Arvanitis , Aris S. Lalos , Konstantinos Moustakas

Skeleton-based and cage-based deformation techniques represent the two most popular approaches to control real-time deformations of digital shapes and are, to a vast extent, complementary to one another. Despite their complementary roles,…

Graphics · Computer Science 2019-09-09 Fabrizio Corda , Jean-Marc Thiery , Marco Livesu , Enrico Puppo , Tamy Boubekeur , Riccardo Scateni

The softmax-based loss functions and its variants (e.g., cosface, sphereface, and arcface) significantly improve the face recognition performance in wild unconstrained scenes. A common practice of these algorithms is to perform…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Hongwei Xu , Suncheng Xiang , Dahong Qian

Rigging and skinning clothed human avatars is a challenging task and traditionally requires a lot of manual work and expertise. Recent methods addressing it either generalize across different characters or focus on capturing the dynamics of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Zhouyingcheng Liao , Vladislav Golyanik , Marc Habermann , Christian Theobalt

The availability of affordable and portable depth sensors has made scanning objects and people simpler than ever. However, dealing with occlusions and missing parts is still a significant challenge. The problem of reconstructing a (possibly…

Computer Vision and Pattern Recognition · Computer Science 2018-04-05 Or Litany , Alex Bronstein , Michael Bronstein , Ameesh Makadia

Faithfully reconstructing textured shapes and physical properties from videos presents an intriguing yet challenging problem. Significant efforts have been dedicated to advancing such a system identification problem in this area. Previous…

Graphics · Computer Science 2025-06-10 Chuhao Chen , Zhiyang Dou , Chen Wang , Yiming Huang , Anjun Chen , Qiao Feng , Jiatao Gu , Lingjie Liu

With the increase in computational power for the available hardware, the demand for high-resolution data in computer graphics applications increases. Consequently, classical geometry processing techniques based on linear algebra solutions…

Graphics · Computer Science 2024-10-08 Filippo Maggioli , Daniele Baieri , Zorah Lähner , Simone Melzi

Skeleton creation is an important phase in the character animation pipeline. However, handcrafting skeleton takes extensive labor time and domain knowledge. Automatic skeletonization provides a solution. However, most of the current…

Graphics · Computer Science 2021-10-13 Jing Ma , Jin Wang , Jituo Li , Dongliang Zhang

We present a general framework for the garment animation problem through unsupervised deep learning inspired in physically based simulation. Existing trends in the literature already explore this possibility. Nonetheless, these approaches…

Computer Vision and Pattern Recognition · Computer Science 2022-12-22 Hugo Bertiche , Meysam Madadi , Sergio Escalera

Traditional character animation specializes in characters with a rigidly articulated skeleton and a bipedal/quadripedal morphology. This assumption simplifies many aspects for designing physically based animations, like locomotion, but…

We present a method for the efficient processing of contact and collision in volumetric elastic models simulated using the Projective Dynamics paradigm. Our approach enables interactive simulation of tetrahedral meshes with more than half a…

Graphics · Computer Science 2020-08-05 Qisi Wang , Yutian Tao , Eric Brandt , Court Cutting , Eftychios Sifakis