Imagen de Portada

AStF: Motion Style Transfer via Adaptive Statistics Fusor

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Hanmo, Xu, Chenghao, Yan, Jiexi, Deng, Cheng
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning
por: Chen, Hanmo, et al.
Publicado: (2026)

Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
por: Cai, Yujia, et al.
Publicado: (2026)

Towards Arbitrary Motion Completing via Hierarchical Continuous Representation
por: Xu, Chenghao, et al.
Publicado: (2025)

StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
por: Jing, Liqi, et al.
Publicado: (2026)

Past- and Future-Informed KV Cache Policy with Salience Estimation in Autoregressive Video Diffusion
por: Chen, Hanmo, et al.
Publicado: (2026)

Domain Generalizable Portrait Style Transfer
por: Wang, Xinbo, et al.
Publicado: (2025)

ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing
por: Huang, Nisha, et al.
Publicado: (2025)

A Turn Toward Better Alignment: Few-Shot Generative Adaptation with Equivariant Feature Rotation
por: Xu, Chenghao, et al.
Publicado: (2025)

Curve-based Neural Style Transfer
por: Chen, Yu-hsuan, et al.
Publicado: (2023)

ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
por: Vijendran, Mridula, et al.
Publicado: (2024)

StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer
por: Wang, Zijia, et al.
Publicado: (2024)

SSGaussian: Semantic-Aware and Structure-Preserving 3D Style Transfer
por: Xu, Jimin, et al.
Publicado: (2025)

MimicParts: Part-aware Style Injection for Speech-Driven 3D Motion Generation
por: Liu, Lianlian, et al.
Publicado: (2025)

Pose and Facial Expression Transfer by using StyleGAN
por: Jahoda, Petr, et al.
Publicado: (2025)

Coarse-to-Fine Structure-Aware Artistic Style Transfer
por: Liu, Kunxiao, et al.
Publicado: (2025)

E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
por: Hassanpour, Ahmad, et al.
Publicado: (2024)

MoST: Motion Style Transformer between Diverse Action Contents
por: Kim, Boeun, et al.
Publicado: (2024)

Style Transfer to Calvin and Hobbes comics using Stable Diffusion
por: Venkataramanan, Asvin Kumar, et al.
Publicado: (2023)

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
por: Chen, Minglei, et al.
Publicado: (2026)

MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field
por: Yang, Zijiang, et al.
Publicado: (2023)

IMTalker: Efficient Audio-driven Talking Face Generation with Implicit Motion Transfer
por: Chen, Bo, et al.
Publicado: (2025)

MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models
por: Meral, Tuna Han Salih, et al.
Publicado: (2024)

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
por: Kwon, Joonwoo, et al.
Publicado: (2023)

VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations
por: Zargarbashi, Fatemeh, et al.
Publicado: (2026)

Regional Style and Color Transfer
por: Ding, Zhicheng, et al.
Publicado: (2024)

Behave Your Motion: Habit-preserved Cross-category Animal Motion Transfer
por: Zhang, Zhimin, et al.
Publicado: (2025)

Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering
por: Lyu, Guangtao, et al.
Publicado: (2026)

StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization
por: Tang, Kaiyuan, et al.
Publicado: (2024)

FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer
por: Zheng, Shenghe, et al.
Publicado: (2026)

D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
por: Susladkar, Onkar, et al.
Publicado: (2024)

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level
por: Deng, Andong, et al.
Publicado: (2024)

Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling
por: Haque, Tasmiah, et al.
Publicado: (2025)

Casual Inference via Style Bias Deconfounding for Domain Generalization
por: Li, Jiaxi, et al.
Publicado: (2025)

Adaptive Agent Selection and Interaction Network for Image-to-point cloud Registration
por: Cheng, Zhixin, et al.
Publicado: (2025)

CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style Transfer
por: Nie, Wenbo, et al.
Publicado: (2026)

MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer
por: Kang, Dongkyung, et al.
Publicado: (2026)

HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models
por: Wang, Hanzhang, et al.
Publicado: (2024)

ChoreoMuse: Robust Music-to-Dance Video Generation with Style Transfer and Beat-Adherent Motion
por: Wang, Xuanchen, et al.
Publicado: (2025)

MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance
por: Yesiltepe, Hidir, et al.
Publicado: (2024)

Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
por: Tong, Ran, et al.
Publicado: (2025)