4.5 Article

Simplified Physical Model-based Balance-preserving Motion Re-targeting for Physical Simulation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Software Engineering

Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies

Jaepyung Hwang et al.

Summary: This study focuses on developing a motion synthesis framework that generates a natural transition motion between different behaviors to interact with a moving object. By combining a regression model and a transition motion planner, the framework is able to adapt to the spatio-temporal variation of the object and synthesize various transition motions.

COMPUTER GRAPHICS FORUM (2022)

Article Computer Science, Software Engineering

Spatio-Temporal Manifold Learning for Human Motions via Long-Horizon Modeling

He Wang et al.

Summary: Data-driven modeling of human motions is common in computer graphics and computer vision applications, recent research indicates that using deep learning for natural motion manifold learning can address traditional methods' shortcomings. Traditional deep learning methods have issues with under-utilizing skeletal information for feature extraction and handling the multi-modal temporal correlations in motion data.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2021)

Article Computer Science, Software Engineering

AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control

Xue Bin Peng et al.

Summary: This study introduces a fully automated approach based on adversarial imitation learning to avoid the need for manually designing imitation objectives and mechanisms for motion selection. The system is able to generate high-quality motions without requiring a high-level motion planner or other task-specific annotations.

ACM TRANSACTIONS ON GRAPHICS (2021)

Article Computer Science, Software Engineering

Interactive multicharacter motion retargeting

Jongmin Kim et al.

Summary: The research introduces a novel multicharacter motion retargeting method that preserves various types of spatial relationships between characters and environments, establishing a unified deformation-based framework. Additionally, an interactive motion editing interface with immediate feedback to the user is provided. Experimental results show that the method achieves a speedup compared to previous motion retargeting methods.

COMPUTER ANIMATION AND VIRTUAL WORLDS (2021)

Article Computer Science, Software Engineering

Skeleton-Aware Networks for Deep Motion Retargeting

Kfir Aberman et al.

ACM TRANSACTIONS ON GRAPHICS (2020)

Article Computer Science, Software Engineering

Fast and Flexible Multilegged Locomotion Using Learned Centroidal Dynamics

Taesoo Kwon et al.

ACM TRANSACTIONS ON GRAPHICS (2020)

Article Computer Science, Software Engineering

Real-time Locomotion Controller using an Inverted-Pendulum-based Abstract Model

Jaepyung Hwang et al.

COMPUTER GRAPHICS FORUM (2018)

Article Computer Science, Software Engineering

Aura Mesh: Motion Retargeting to Preserve the Spatial Relationships between Skinned Characters

Taeil Jin et al.

COMPUTER GRAPHICS FORUM (2018)

Article Computer Science, Software Engineering

Robust Physics-based Motion Retargeting with Realistic Body Shapes

Mazen Al Borno et al.

COMPUTER GRAPHICS FORUM (2018)

Article Computer Science, Software Engineering

2PAC: Two-Point Attractors for Center Of Mass Trajectories in Multi-Contact Scenarios

Steve Tonneau et al.

ACM TRANSACTIONS ON GRAPHICS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Neural Kinematic Networks for Unsupervised Motion Retargetting

Ruben Villegas et al.

2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)

Article Computer Science, Software Engineering

Performance-Based Animation Using Constraints for Virtual Object Manipulation

Jaepyung Hwang et al.

IEEE COMPUTER GRAPHICS AND APPLICATIONS (2017)

Article Computer Science, Software Engineering

Character-Object Interaction Retrieval using the Interaction Bisector Surface

X. Zhao et al.

COMPUTER GRAPHICS FORUM (2017)

Article Computer Science, Software Engineering

Momentum-Mapped Inverted Pendulum Models for Controlling Dynamic Human Motions

Taesoo Kwon et al.

ACM TRANSACTIONS ON GRAPHICS (2017)

Article Computer Science, Software Engineering

Retargeting Human-Object Interaction to Virtual Avatars

Yeonjoon Kim et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2016)

Article Computer Science, Software Engineering

Realtime Style Transfer for Unlabeled Heterogeneous Human Motion

Shihong Xia et al.

ACM TRANSACTIONS ON GRAPHICS (2015)

Article Computer Science, Software Engineering

Editing and Synthesizing Two-Character Motions using a Coupled Inverted Pendulum Model

J. Hwang et al.

COMPUTER GRAPHICS FORUM (2014)

Article Computer Science, Software Engineering

Motion Graphs++: a Compact Generative Model for Semantic Motion Analysis and Synthesis

Jianyuan Min et al.

ACM TRANSACTIONS ON GRAPHICS (2012)

Article Computer Science, Software Engineering

Physically Valid Statistical Models for Human Motion Generation

Xiaolin Wei et al.

ACM TRANSACTIONS ON GRAPHICS (2011)

Article Computer Science, Software Engineering

Motion fields for interactive character locomotion

Yongjoon Lee et al.

ACM TRANSACTIONS ON GRAPHICS (2010)

Article Computer Science, Software Engineering

Generalized Biped Walking Control

Stelian Coros et al.

ACM TRANSACTIONS ON GRAPHICS (2010)

Article Computer Science, Software Engineering

Real-Time Physics-Based 3D Biped Character Animation Using an Inverted Pendulum Model

Yao-Yang Tsai et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2010)

Article Computer Science, Software Engineering

A physically-based motion retargeting filter

S Tak et al.

ACM TRANSACTIONS ON GRAPHICS (2005)