Papers Motion Style Transfer
“Motion Style Transfer” 태그가 달린 논문 16편 · 필터 해제
PersonaBooth: Personalized Text-to-Motion Generation
This paper introduces Motion Personalization, a new task that generates personalized motions aligned with text descriptions using several basic motions containing Persona. To support this novel task, we introduce a new l…
Contrastive LearningMotion GenerationMotion Style TransferStyle TransferD-LORD for Motion Stylization
This paper introduces a novel framework named D-LORD (Double Latent Optimization for Representation Disentanglement), which is designed for motion stylization (motion style transfer and motion retargeting). The primary o…
Disentanglementmotion retargetingMotion Style TransferStyle TransferDecoupling Contact for Fine-Grained Motion Style Transfer
Motion style transfer changes the style of a motion while retaining its content and is useful in computer animations and games. Contact is an essential component of motion style transfer that should be controlled explici…
Motion Style TransferStyle TransferSMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
Motion style transfer is a significant research direction in multimedia applications. It enables the rapid switching of different styles of the same motion for virtual digital humans, thus vastly increasing the diversity…
MambaMotion Style TransferStyle TransferDiffusion-based Human Motion Style Transfer with Semantic Guidance
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 …
Motion Style TransferStyle TransferTransfer LearningMoST: Motion Style Transformer between Diverse Action Contents
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 chal…
DisentanglementMotion Style TransferStyle TransferActive Generation Network of Human Skeleton for Action Recognition
Data generation is a data augmentation technique for enhancing the generalization ability for skeleton-based human action recognition. Most existing data generation methods face challenges to ensure the temporal consiste…
Action GenerationAction RecognitionData AugmentationDiversity+3Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
Computer animation's quest to bridge content and style has historically been a challenging venture with previous efforts often leaning toward one at the expense of the other. This paper tackles the inherent challenge…
Motion Style TransferStyle TransferScalable Motion Style Transfer with Constrained Diffusion Generation
Current training of motion style transfer systems relies on consistency losses across style domains to preserve contents, hindering its scalable application to a large number of domains and private data. Recent image tra…
Motion Style TransferStyle TransferMotion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is industry-ready to be plugged into 3D characte…
Motion Style TransferStyle TransferMotion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Deep motion forecasting models have achieved great success when trained on a massive amount of data. Yet, they often perform poorly when training data is limited. To address this challenge, we propose a transfer learning…
Motion ForecastingMotion Style TransferStyle TransferTransfer LearningOnline Motion Style Transfer for Interactive Character Control
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 p…
Game DesignMotion GenerationMotion Style TransferStyle TransferStyle-ERD: Responsive and Coherent Online Motion Style Transfer
Motion style transfer is a common method for enriching character animation. Motion style transfer algorithms are often designed for offline settings where motions are processed in segments. However, for online animation …
DecoderMotion Style TransferStyle TransferMotion Puzzle: Arbitrary Motion Style Transfer by Body Part
This paper presents Motion Puzzle, a novel motion style transfer network that advances the state-of-the-art in several important respects. The Motion Puzzle is the first that can control the motion style of individual bo…
Motion GenerationMotion Style TransferMotion SynthesisStyle TransferAutoregressive Stylized Motion Synthesis With Generative Flow
Motion style transfer is an important problem in many computer graphics and computer vision applications, including human animation, games, and robotics. Most existing deep learning methods for this problem are super…
Human AnimationMotion Style TransferMotion SynthesisStyle TransferUnpaired Motion Style Transfer from Video to Animation
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 super…
3D ReconstructionMotion Style TransferMotion SynthesisStyle Transfer