Copertina

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Wenshuo, Yu, Kuimou, Jia, Haozhe, Yuan, Kaishen, Huang, Zexu, Tian, Bowen, Lai, Songning, Xiao, Hongru, Zhang, Erhang, Wang, Lei, Yue, Yutao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Free-T2M: Robust Text-to-Motion Generation for Humanoid Robots via Frequency-Domain
di: Chen, Wenshuo, et al.
Pubblicazione: (2025)

RadioFlow: Efficient Radio Map Construction Framework with Flow Matching
di: Jia, Haozhe, et al.
Pubblicazione: (2025)

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction
di: Jia, Haozhe, et al.
Pubblicazione: (2025)

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces
di: Tian, Bowen, et al.
Pubblicazione: (2025)

LUMA: Low-Dimension Unified Motion Alignment with Dual-Path Anchoring for Text-to-Motion Diffusion Model
di: Jia, Haozhe, et al.
Pubblicazione: (2025)

POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models
di: Chen, Wenshuo, et al.
Pubblicazione: (2025)

SATO: Stable Text-to-Motion Framework
di: Chen, Wenshuo, et al.
Pubblicazione: (2024)

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
di: Tian, Bowen, et al.
Pubblicazione: (2024)

Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models
di: Lai, Songning, et al.
Pubblicazione: (2024)

Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
di: Huang, Gaoxiang, et al.
Pubblicazione: (2025)

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models
di: Li, Haosen, et al.
Pubblicazione: (2026)

Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models
di: Lai, Songning, et al.
Pubblicazione: (2024)

Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models
di: Li, Haosen, et al.
Pubblicazione: (2026)

Adaptive H&E-IHC information fusion staining framework based on feature extra
di: Jia, Yifan, et al.
Pubblicazione: (2025)

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation
di: Yuan, Kaishen, et al.
Pubblicazione: (2025)

Before the Body Moves: Learning Anticipatory Joint Intent for Language-Conditioned Humanoid Control
di: Jia, Haozhe, et al.
Pubblicazione: (2026)

Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics
di: Bowen, Tian, et al.
Pubblicazione: (2024)

ECHO: Edge-Cloud Humanoid Orchestration for Language-to-Motion Control
di: Jia, Haozhe, et al.
Pubblicazione: (2026)

Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
di: Jia, Haozhe, et al.
Pubblicazione: (2026)

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization
di: Li, Haosen, et al.
Pubblicazione: (2026)

Guided Path Sampling: Steering Diffusion Models Back on Track with Principled Path Guidance
di: Li, Haosen, et al.
Pubblicazione: (2025)

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
di: Tian, Bowen, et al.
Pubblicazione: (2024)

DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
di: Xiao, Ruiqiang, et al.
Pubblicazione: (2024)

Towards Multi-dimensional Explanation Alignment for Medical Classification
di: Hu, Lijie, et al.
Pubblicazione: (2024)

You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
di: Tian, Bowen, et al.
Pubblicazione: (2025)

AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
di: Tian, Bowen, et al.
Pubblicazione: (2026)

TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution
di: Yang, Yang, et al.
Pubblicazione: (2026)

Maintaining Informative Coherence: Migrating Hallucinations in Large Language Models via Absorbing Markov Chains
di: Wu, Jiemin, et al.
Pubblicazione: (2024)

Temporal Consistency-Aware Text-to-Motion Generation
di: Wang, Hongsong, et al.
Pubblicazione: (2026)

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving
di: Lai, Songning, et al.
Pubblicazione: (2024)

CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
di: Song, Zichen, et al.
Pubblicazione: (2024)

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
di: Zhang, Yuting, et al.
Pubblicazione: (2025)

Neural Electromagnetic Fields for High-Resolution Material Parameter Reconstruction
di: Chen, Zhe, et al.
Pubblicazione: (2026)

Incentivizing Temporal-Awareness in Egocentric Video Understanding Models
di: Xu, Zhiyang, et al.
Pubblicazione: (2026)

AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
di: Ma, Zhiyuan, et al.
Pubblicazione: (2023)

Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models
di: Wang, Kaishen, et al.
Pubblicazione: (2026)

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
di: Huang, Shijue, et al.
Pubblicazione: (2025)

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
di: Yang, Jiayu, et al.
Pubblicazione: (2025)

IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
di: Hu, Zhangyi, et al.
Pubblicazione: (2025)

FTS: A Framework to Find a Faithful TimeSieve
di: Lai, Songning, et al.
Pubblicazione: (2024)