Imagen de Portada

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Yiming, Ji, Wei, Zheng, Kecheng, Wang, Zicheng, Xu, Dong
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models
por: Xu, Haidong, et al.
Publicado: (2025)

BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
por: Hosseyni, S. Rohollah, et al.
Publicado: (2024)

CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
por: Yang, Mingyue, et al.
Publicado: (2025)

Optimizing Prompts for Text-to-Image Generation
por: Hao, Yaru, et al.
Publicado: (2022)

Scaling Concept With Text-Guided Diffusion Models
por: Huang, Chao, et al.
Publicado: (2024)

Bilingual Text-to-Motion Generation: A New Benchmark and Baselines
por: Weng, Wanjiang, et al.
Publicado: (2026)

DiMo: Discrete Diffusion Modeling for Motion Generation and Understanding
por: Zhang, Ning, et al.
Publicado: (2026)

Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
por: Jia, Mengzhao, et al.
Publicado: (2024)

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

MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models
por: Li, Xiaomin, et al.
Publicado: (2024)

Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models
por: Huang, Jia-Hong, et al.
Publicado: (2024)

SegMo: Segment-aligned Text to 3D Human Motion Generation
por: Dang, Bowen, et al.
Publicado: (2025)

Learning Visual Generative Priors without Text
por: Ma, Shuailei, et al.
Publicado: (2024)

Mojito: Motion Trajectory and Intensity Control for Video Generation
por: He, Xuehai, et al.
Publicado: (2024)

MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
por: Shi, Shuwei, et al.
Publicado: (2024)

MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
por: Wan, Yixin, et al.
Publicado: (2025)

LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
por: Wang, Chenglin, et al.
Publicado: (2026)

Image-to-LaTeX Converter for Mathematical Formulas and Text
por: Gurgurov, Daniil, et al.
Publicado: (2024)

MoExtend: Tuning New Experts for Modality and Task Extension
por: Zhong, Shanshan, et al.
Publicado: (2024)

MoLingo: Motion-Language Alignment for Text-to-Motion Generation
por: He, Yannan, et al.
Publicado: (2025)

Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
por: Chin, Zhi-Yi, et al.
Publicado: (2023)

Progressive Human Motion Generation Based on Text and Few Motion Frames
por: Zeng, Ling-An, et al.
Publicado: (2025)

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
por: Yuan, Huizhuo, et al.
Publicado: (2024)

Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace
por: Du, Shian, et al.
Publicado: (2024)

Improving OCR for Historical Texts of Multiple Languages
por: Westerdijk, Hylke, et al.
Publicado: (2025)

DiSA: Diffusion Step Annealing in Autoregressive Image Generation
por: Zhao, Qinyu, et al.
Publicado: (2025)

DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter
por: Dong, Ziyi, et al.
Publicado: (2022)

You Think, You ACT: The New Task of Arbitrary Text to Motion Generation
por: Wang, Runqi, et al.
Publicado: (2024)

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

LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation
por: Xing, Jiarui, et al.
Publicado: (2024)

CoMo: Compositional Motion Customization for Text-to-Video Generation
por: Xu, Youcan, et al.
Publicado: (2025)

Multimedia Generative Script Learning for Task Planning
por: Wang, Qingyun, et al.
Publicado: (2022)

Can We Predict Performance of Large Models across Vision-Language Tasks?
por: Zhao, Qinyu, et al.
Publicado: (2024)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
por: Chen, Zeren, et al.
Publicado: (2023)

Mimir: Improving Video Diffusion Models for Precise Text Understanding
por: Tan, Shuai, et al.
Publicado: (2024)

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

LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
por: Wang, Yuchi, et al.
Publicado: (2024)

Cross-Modal Retrieval for Motion and Text via DropTriple Loss
por: Yan, Sheng, et al.
Publicado: (2023)

Why Instruction-Based Unlearning Fails in Diffusion Models?
por: Zhang, Zeliang, et al.
Publicado: (2026)

SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios
por: Dang, Lingwei, et al.
Publicado: (2025)