:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Chen, Xingyu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2409.19686
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Exploring Motion-Language Alignment for Text-driven Motion Generation
by: Gu, Ruxi, et al.
Published: (2026)

Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation
by: Liu, Yifei, et al.
Published: (2026)

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

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

Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models with Efficient Kinematic Attention Aggregation
by: Jiang, Junkun, et al.
Published: (2026)

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

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

Text-driven Motion Generation: Overview, Challenges and Directions
by: Sahili, Ali Rida, et al.
Published: (2025)

RDM: Recurrent Diffusion Model for Human Motion Generation
by: Mohamed, Mirgahney, et al.
Published: (2024)

Realistic Human Motion Generation with Cross-Diffusion Models
by: Ren, Zeping, et al.
Published: (2023)

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

MMM: Generative Masked Motion Model
by: Pinyoanuntapong, Ekkasit, et al.
Published: (2023)

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

GenM$^3$: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation
by: Shi, Junyu, et al.
Published: (2025)

LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
by: Sun, Haowen, et al.
Published: (2024)

Shape Conditioned Human Motion Generation with Diffusion Model
by: Xue, Kebing, et al.
Published: (2024)

SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
by: Li, Zhengyuan, et al.
Published: (2025)

MotionBooth: Motion-Aware Customized Text-to-Video Generation
by: Wu, Jianzong, et al.
Published: (2024)

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

ReMoMask: Retrieval-Augmented Masked Motion Generation
by: Li, Zhengdao, et al.
Published: (2025)

MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning
by: Liu, Xiaoyang, et al.
Published: (2024)

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation
by: Li, Yuan-Ming, et al.
Published: (2025)

TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation
by: Cao, Yiyang, et al.
Published: (2026)

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion
by: Zhang, Zeyu, et al.
Published: (2024)

Infinite Motion: Extended Motion Generation via Long Text Instructions
by: Li, Mengtian, et al.
Published: (2024)

Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis
by: Chen, Hongyuan, et al.
Published: (2026)

Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
by: Wang, Xinghan, et al.
Published: (2024)

InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
by: Javed, Muhammad Gohar, et al.
Published: (2024)

Generating Human Interaction Motions in Scenes with Text Control
by: Yi, Hongwei, et al.
Published: (2024)

EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
by: Yang, Yuxiao, et al.
Published: (2025)

Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion
by: Zhang, Zongye, et al.
Published: (2025)

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm
by: Guo, Ziyan, et al.
Published: (2025)

KMM: Key Frame Mask Mamba for Extended Motion Generation
by: Zhang, Zeyu, et al.
Published: (2024)

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

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

Efficient Text-driven Motion Generation via Latent Consistency Training
by: Hu, Mengxian, et al.
Published: (2024)

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

MotionFix: Text-Driven 3D Human Motion Editing
by: Athanasiou, Nikos, et al.
Published: (2024)