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A standard motion control with feedback of the output displacement cannot handle unforeseen contact with environment without penetrating into the soft, i.e. viscoelastic, materials or even damaging the fragile materials. Robotics and…

Systems and Control · Electrical Eng. & Systems 2025-04-09 Michael Ruderman

Motion style transfer is highly desired for motion generation systems for gaming. Compared to its offline counterpart, the research on online motion style transfer under interactive control is limited. In this work, we propose an end-to-end…

Graphics · Computer Science 2022-03-31 Yingtian Tang , Jiangtao Liu , Cheng Zhou , Tingguang Li

In this work we propose a photorealistic style transfer method for image and video that is based on vision science principles and on a recent mathematical formulation for the deterministic decoupling of sample statistics. The novel aspects…

Image and Video Processing · Electrical Eng. & Systems 2023-04-11 Trevor D. Canham , Adrián Martín , Marcelo Bertalmío , Javier Portilla

Transferring the motion style from one animation clip to another, while preserving the motion content of the latter, has been a long-standing problem in character animation. Most existing data-driven approaches are supervised and rely on…

Graphics · Computer Science 2020-05-13 Kfir Aberman , Yijia Weng , Dani Lischinski , Daniel Cohen-Or , Baoquan Chen

Styled motion in-betweening is crucial for computer animation and gaming. However, existing methods typically encode motion styles by modeling whole-body motions, often overlooking the representation of individual body parts. This…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Minyue Dai , Ke Fan , Bin Ji , Haoran Xu , Haoyu Zhao , Junting Dong , Jingbo Wang , Bo Dai

Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. We demonstrate how…

Computer Vision and Pattern Recognition · Computer Science 2017-05-12 Leon A. Gatys , Alexander S. Ecker , Matthias Bethge , Aaron Hertzmann , Eli Shechtman

Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed for a single character and overlook multi-human…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Zhenzhi Wang , Jingbo Wang , Yixuan Li , Dahua Lin , Bo Dai

Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact control is compliant control, \textit{i.e.}, controlling the…

Robotics · Computer Science 2023-05-30 Jinda Cui , Jiawei Xu , David Saldaña , Jeff Trinkle

The human foot serves as the critical interface between the body and environment during locomotion. Existing musculoskeletal models typically oversimplify foot-ground contact mechanics, limiting their ability to accurately simulate human…

Robotics · Computer Science 2025-08-19 Haixin Gong , Chen Zhang , Yanan Sui

Animating stylized characters to match a reference motion sequence is a highly demanded task in film and gaming industries. Existing methods mostly focus on rigid deformations of characters' body, neglecting local deformations on the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Rong Wang , Wei Mao , Changsheng Lu , Hongdong Li

Generating images that fit a given text description using machine learning has improved greatly with the release of technologies such as the CLIP image-text encoder model; however, current methods lack artistic control of the style of image…

Computer Vision and Pattern Recognition · Computer Science 2022-03-02 Peter Schaldenbrand , Zhixuan Liu , Jean Oh

3D Human motion style transfer is a fundamental problem in computer graphic and animation processing. Existing AdaIN- based methods necessitate datasets with balanced style distribution and content/style labels to train the clustered latent…

Graphics · Computer Science 2024-08-08 Lei Hu , Zihao Zhang , Yongjing Ye , Yiwen Xu , Shihong Xia

Controlling the shape of deformable linear objects using robots and constraints provided by environmental fixtures has diverse industrial applications. In order to establish robust contacts with these fixtures, accurate estimation of the…

Robotics · Computer Science 2024-01-31 Kejia Chen , Zhenshan Bing , Yansong Wu , Fan Wu , Liding Zhang , Sami Haddadin , Alois Knoll

Creating expressive character animations is labor-intensive, requiring intricate manual adjustment of animators across space and time. Previous works on controllable motion generation often rely on a predefined set of dense spatio-temporal…

Graphics · Computer Science 2025-07-28 Inwoo Hwang , Jinseok Bae , Donggeun Lim , Young Min Kim

Artistic text style transfer is the task of migrating the style from a source image to the target text to create artistic typography. Recent style transfer methods have considered texture control to enhance usability. However, controlling…

Computer Vision and Pattern Recognition · Computer Science 2019-08-13 Shuai Yang , Zhangyang Wang , Zhaowen Wang , Ning Xu , Jiaying Liu , Zongming Guo

This paper introduces a motion retargeting method that preserves self-contacts and prevents interpenetration. Self-contacts, such as when hands touch each other or the torso or the head, are important attributes of human body language and…

Computer Vision and Pattern Recognition · Computer Science 2021-09-16 Ruben Villegas , Duygu Ceylan , Aaron Hertzmann , Jimei Yang , Jun Saito

We present a novel method for the direct transfer of grasps and manipulations between objects and hands through utilization of contact areas. Our method fully preserves contact shapes, and in contrast to existing techniques, is not…

Robotics · Computer Science 2022-06-03 Arjun Lakshmipathy , Dominik Bauer , Cornelia Bauer , Nancy S. Pollard

Controlling the manner in which a character moves in a real-time animation system is a challenging task with useful applications. Existing style transfer systems require access to a reference content motion clip, however, in real-time…

Graphics · Computer Science 2022-01-13 Ian Mason , Sebastian Starke , Taku Komura

While existing motion style transfer methods are effective between two motions with identical content, their performance significantly diminishes when transferring style between motions with different contents. This challenge lies in the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Boeun Kim , Jungho Kim , Hyung Jin Chang , Jin Young Choi

Neural style transfer has been demonstrated to be powerful in creating artistic image with help of Convolutional Neural Networks (CNN). However, there is still lack of computational analysis of perceptual components of the artistic style.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Minchao Li , Shikui Tu , Lei Xu
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