TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Yiyang, Deng, Yunze, Lin, Ziyu, Feng, Bin, Wang, Xinggang, Liu, Wenyu, Zheng, Dandan, Chen, Jingdong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GO-MLVTON: Garment Occlusion-Aware Multi-Layer Virtual Try-On with Diffusion Models
by: Yu, Yang, et al.
Published: (2026)
by: Yu, Yang, et al.
Published: (2026)
STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting
by: Deng, Yunze, et al.
Published: (2025)
by: Deng, Yunze, et al.
Published: (2025)
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
by: Xiong, Haijun, et al.
Published: (2024)
by: Xiong, Haijun, et al.
Published: (2024)
GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
by: Xiong, Haijun, et al.
Published: (2023)
by: Xiong, Haijun, et al.
Published: (2023)
OmniTry: Virtual Try-On Anything without Masks
by: Feng, Yutong, et al.
Published: (2025)
by: Feng, Yutong, et al.
Published: (2025)
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter
by: Zou, Cheng, et al.
Published: (2025)
by: Zou, Cheng, et al.
Published: (2025)
Try-On-Adapter: A Simple and Flexible Try-On Paradigm
by: Guo, Hanzhong, et al.
Published: (2024)
by: Guo, Hanzhong, et al.
Published: (2024)
Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion
by: Zhou, Zhenghong, et al.
Published: (2026)
by: Zhou, Zhenghong, et al.
Published: (2026)
TriCLIP-3D: A Unified Parameter-Efficient Framework for Tri-Modal 3D Visual Grounding based on CLIP
by: Li, Fan, et al.
Published: (2025)
by: Li, Fan, et al.
Published: (2025)
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space
by: Yin, Kangning, et al.
Published: (2024)
by: Yin, Kangning, et al.
Published: (2024)
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
by: Shi, Shuwei, et al.
Published: (2024)
by: Shi, Shuwei, et al.
Published: (2024)
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
by: Xing, Jiazheng, et al.
Published: (2024)
by: Xing, Jiazheng, et al.
Published: (2024)
Gait Recognition via Collaborating Discriminative and Generative Diffusion Models
by: Xiong, Haijun, et al.
Published: (2025)
by: Xiong, Haijun, et al.
Published: (2025)
Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
by: Sanguigni, Fulvio, et al.
Published: (2026)
by: Sanguigni, Fulvio, et al.
Published: (2026)
Causal Motion Diffusion Models for Autoregressive Motion Generation
by: Yu, Qing, et al.
Published: (2026)
by: Yu, Qing, et al.
Published: (2026)
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
by: Zheng, Jun, et al.
Published: (2024)
by: Zheng, Jun, et al.
Published: (2024)
LUIVITON: Learned Universal Interoperable VIrtual Try-ON
by: Cao, Cong, et al.
Published: (2025)
by: Cao, Cong, et al.
Published: (2025)
TrackSSM: A General Motion Predictor by State-Space Model
by: Hu, Bin, et al.
Published: (2024)
by: Hu, Bin, et al.
Published: (2024)
MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
by: Zhang, Wenrui, et al.
Published: (2025)
by: Zhang, Wenrui, et al.
Published: (2025)
PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification
by: Hu, Bin, et al.
Published: (2024)
by: Hu, Bin, et al.
Published: (2024)
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
by: Zheng, Jun, et al.
Published: (2026)
by: Zheng, Jun, et al.
Published: (2026)
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
by: Tan, Shuai, et al.
Published: (2024)
by: Tan, Shuai, 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)
by: Li, Yuan-Ming, et al.
Published: (2025)
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
by: Wang, Xinghan, et al.
Published: (2024)
by: Wang, Xinghan, et al.
Published: (2024)
TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation
by: Feng, Chengcheng, et al.
Published: (2024)
by: Feng, Chengcheng, et al.
Published: (2024)
Pressure2Motion: Hierarchical Human Motion Reconstruction from Ground Pressure with Text Guidance
by: Li, Zhengxuan, et al.
Published: (2025)
by: Li, Zhengxuan, et al.
Published: (2025)
Reconstruction-Anchored Diffusion Model for Text-to-Motion Generation
by: Liu, Yifei, et al.
Published: (2026)
by: Liu, Yifei, et al.
Published: (2026)
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
by: Li, Guangyuan, et al.
Published: (2025)
by: Li, Guangyuan, et al.
Published: (2025)
Next-Scale Autoregressive Models for Text-to-Motion Generation
by: Zheng, Zhiwei, et al.
Published: (2026)
by: Zheng, Zhiwei, et al.
Published: (2026)
Progressive Human Motion Generation Based on Text and Few Motion Frames
by: Zeng, Ling-An, et al.
Published: (2025)
by: Zeng, Ling-An, et al.
Published: (2025)
GlamTry: Advancing Virtual Try-On for High-End Accessories
by: Chang, Ting-Yu, et al.
Published: (2024)
by: Chang, Ting-Yu, et al.
Published: (2024)
One Model for All: Unified Try-On and Try-Off in Any Pose via LLM-Inspired Bidirectional Tweedie Diffusion
by: Liu, Jinxi, et al.
Published: (2025)
by: Liu, Jinxi, et al.
Published: (2025)
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
by: Nguyen, Hung, et al.
Published: (2024)
by: Nguyen, Hung, et al.
Published: (2024)
SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation
by: Wang, Yiling, et al.
Published: (2026)
by: Wang, Yiling, et al.
Published: (2026)
Text-driven Human Motion Generation with Motion Masked Diffusion Model
by: Chen, Xingyu
Published: (2024)
by: Chen, Xingyu
Published: (2024)
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
by: Jin, Peng, et al.
Published: (2024)
by: Jin, Peng, et al.
Published: (2024)
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
by: Xiao, Lixing, et al.
Published: (2025)
by: Xiao, Lixing, et al.
Published: (2025)
Hierarchical Cross-Attention Network for Virtual Try-On
by: Tang, Hao, et al.
Published: (2024)
by: Tang, Hao, et al.
Published: (2024)
Similar Items
-
GO-MLVTON: Garment Occlusion-Aware Multi-Layer Virtual Try-On with Diffusion Models
by: Yu, Yang, et al.
Published: (2026) -
STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting
by: Deng, Yunze, et al.
Published: (2025) -
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
by: Xiong, Haijun, et al.
Published: (2024) -
GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
by: Xiong, Haijun, et al.
Published: (2023) -
OmniTry: Virtual Try-On Anything without Masks
by: Feng, Yutong, et al.
Published: (2025)