Copertina

Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models with Efficient Kinematic Attention Aggregation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jiang, Junkun, Chen, Jie, Au, Ho Yin, Xiang, Jingyu
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Compositional Phase Diffusion for Long Motion Sequence Generation
di: Au, Ho Yin, et al.
Pubblicazione: (2025)

LaMoGen: Language to Motion Generation Through LLM-Guided Symbolic Inference
di: Jiang, Junkun, et al.
Pubblicazione: (2026)

SOSControl: Enhancing Human Motion Generation through Saliency-Aware Symbolic Orientation and Timing Control
di: Au, Ho Yin, et al.
Pubblicazione: (2025)

Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud
di: Jiang, Junkun, et al.
Pubblicazione: (2025)

Text-driven Human Motion Generation with Motion Masked Diffusion Model
di: Chen, Xingyu
Pubblicazione: (2024)

Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework
di: Jiang, Junkun, et al.
Pubblicazione: (2024)

UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors
di: Cong, Xiaoyan, et al.
Pubblicazione: (2026)

Learning Long-term Motion Embeddings for Efficient Kinematics Generation
di: Stracke, Nick, et al.
Pubblicazione: (2026)

SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
di: Thoker, Fida Mohammad, et al.
Pubblicazione: (2025)

Motion-Adaptive Temporal Attention for Lightweight Video Generation with Stable Diffusion
di: Hong, Rui, et al.
Pubblicazione: (2026)

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
di: Jin, Peng, et al.
Pubblicazione: (2024)

Bridging Semantic and Kinematic Conditions with Diffusion-based Discrete Motion Tokenizer
di: Gu, Chenyang, et al.
Pubblicazione: (2026)

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

MaskSem: Semantic-Guided Masking for Learning 3D Hybrid High-Order Motion Representation
di: Wei, Wei, et al.
Pubblicazione: (2025)

MaskAdapt: Learning Flexible Motion Adaptation via Mask-Invariant Prior for Physics-Based Characters
di: Park, Soomin, et al.
Pubblicazione: (2026)

MAMOC: MRI Motion Correction via Masked Autoencoding
di: Van der Goten, Lennart Alexander, et al.
Pubblicazione: (2024)

KETA: Kinematic-Phrases-Enhanced Text-to-Motion Generation via Fine-grained Alignment
di: Jiang, Yu, et al.
Pubblicazione: (2025)

DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
di: Shen, Liao, et al.
Pubblicazione: (2024)

HMPDM: A Diffusion Model for Driving Video Prediction with Historical Motion Priors
di: Li, Ke, et al.
Pubblicazione: (2026)

Optimizing Diffusion Noise Can Serve As Universal Motion Priors
di: Karunratanakul, Korrawe, et al.
Pubblicazione: (2023)

MaskControl: Spatio-Temporal Control for Masked Motion Synthesis
di: Pinyoanuntapong, Ekkasit, et al.
Pubblicazione: (2024)

OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregression
di: Li, Zhe, et al.
Pubblicazione: (2025)

Efficient Motion Prompt Learning for Robust Visual Tracking
di: Zhao, Jie, et al.
Pubblicazione: (2025)

LMP: Leveraging Motion Prior in Zero-Shot Video Generation with Diffusion Transformer
di: Chen, Changgu, et al.
Pubblicazione: (2025)

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
di: Meng, Zichong, et al.
Pubblicazione: (2024)

Causal Motion Diffusion Models for Autoregressive Motion Generation
di: Yu, Qing, et al.
Pubblicazione: (2026)

Moaw: Unleashing Motion Awareness for Video Diffusion Models
di: Zhang, Tianqi, et al.
Pubblicazione: (2026)

StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
di: Wang, Ziyi, et al.
Pubblicazione: (2025)

Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound Actions
di: Jiang, Yue, et al.
Pubblicazione: (2026)

Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
di: Shen, Fei, et al.
Pubblicazione: (2025)

Motion Guided Token Compression for Efficient Masked Video Modeling
di: Feng, Yukun, et al.
Pubblicazione: (2024)

Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language Models
di: Hong, Sujung, et al.
Pubblicazione: (2026)

Masked Modeling for Human Motion Recovery Under Occlusions
di: Qian, Zhiyin, et al.
Pubblicazione: (2026)

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning
di: Mei, Xiaodong, et al.
Pubblicazione: (2025)

EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models
di: Cai, Yufei, et al.
Pubblicazione: (2025)

EchoMask: Speech-Queried Attention-based Mask Modeling for Holistic Co-Speech Motion Generation
di: Zhang, Xiangyue, et al.
Pubblicazione: (2025)

MotionCrafter: One-Shot Motion Customization of Diffusion Models
di: Zhang, Yuxin, et al.
Pubblicazione: (2023)

Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance
di: Wang, Haoxuan, et al.
Pubblicazione: (2025)

Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation
di: Hong, Kai-Yin, et al.
Pubblicazione: (2024)

Learning Priors of Human Motion With Vision Transformers
di: Falqueto, Placido, et al.
Pubblicazione: (2025)