"text-to-motion generation" Papers
16 papers found
Conference
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward
Haonan Han, Xiangzuo Wu, Huan Liao et al.
CVPR 2025arXiv:2411.18654
5
citations
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan et al.
AAAI 2025paperarXiv:2408.00352
8
citations
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
Yukang Cao, Liang Pan, Kai Han et al.
ICLR 2025arXiv:2410.07164
19
citations
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li et al.
NEURIPS 2025oral
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Minjae Jeong, Yechan Hwang, Jaejin Lee et al.
ICLR 2025
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
Zhe Li, Weihao Yuan, Yisheng He et al.
ICLR 2025arXiv:2410.07093
37
citations
Learning to Generate Human-Human-Object Interactions from Textual Descriptions
Jeonghyeon Na, Sangwon Baik, Inhee Lee et al.
NEURIPS 2025arXiv:2511.20446
1
citations
MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation
Kaleab Kinfu, Rene Vidal
NEURIPS 2025oral
Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions
Ting-Hsuan Liao, Yi Zhou, Yu Shen et al.
CVPR 2025arXiv:2504.03639
5
citations
SnapMoGen: Human Motion Generation from Expressive Texts
chuan guo, Inwoo Hwang, Jian Wang et al.
NEURIPS 2025oralarXiv:2507.09122
10
citations
BAMM: Bidirectional Autoregressive Motion Model
Ekkasit Pinyoanuntapong, Muhammad Usama Saleem, Pu Wang et al.
ECCV 2024arXiv:2403.19435
44
citations
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
Yiming Huang, WEILIN WAN, Yue Yang et al.
ECCV 2024arXiv:2403.13900
50
citations
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
Peng Jin, Hao Li, Zesen Cheng et al.
ECCV 2024arXiv:2407.10528
13
citations
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang et al.
CVPR 2024arXiv:2312.08985
48
citations
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.
ECCV 2024
8
citations
SMooDi: Stylized Motion Diffusion Model
Lei Zhong, Yiming Xie, Varun Jampani et al.
ECCV 2024arXiv:2407.12783
38
citations