Cover Image

Exploring Text-to-Motion Generation with Human Preference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheng, Jenny, Lin, Matthieu, Zhao, Andrew, Pruvost, Kevin, Wen, Yu-Hui, Li, Yangguang, Huang, Gao, Liu, Yong-Jin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion
by: Ukarapol, Trapoom, et al.
Published: (2024)

A Text-to-3D Framework for Joint Generation of CG-Ready Humans and Compatible Garments
by: Sun, Zhiyao, et al.
Published: (2025)

DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models
by: Sun, Zhiyao, et al.
Published: (2023)

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

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement
by: Ye, Sheng, et al.
Published: (2023)

MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment
by: Gao, Zhiting, et al.
Published: (2025)

T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
by: He, Yuze, et al.
Published: (2023)

Text-driven 3D Human Generation via Contrastive Preference Optimization
by: Zhou, Pengfei, et al.
Published: (2025)

Learning Multi-dimensional Human Preference for Text-to-Image Generation
by: Zhang, Sixian, et al.
Published: (2024)

O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
by: Hu, Yubin, et al.
Published: (2023)

Language-Guided Transformer Tokenizer for Human Motion Generation
by: Yan, Sheng, et al.
Published: (2026)

Exploring Motion-Language Alignment for Text-driven Motion Generation
by: Gu, Ruxi, 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)

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

Next-Scale Autoregressive Models for Text-to-Motion Generation
by: Zheng, Zhiwei, et al.
Published: (2026)

PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstruction
by: Ye, Sheng, et al.
Published: (2024)

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

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

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

MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond
by: Ren, Shenghao, et al.
Published: (2025)

DrawMotion: Generating 3D Human Motions by Freehand Drawing
by: Wang, Tao, et al.
Published: (2026)

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

SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
by: Tan, Xiaofeng, et al.
Published: (2024)

LaxMotion: Rethinking Supervision Granularity for 3D Human Motion Generation
by: Liu, Sheng, et al.
Published: (2025)

Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference
by: Leng, Jiaqi, et al.
Published: (2026)

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

GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation
by: Gao, Xuehao, et al.
Published: (2024)

PersonaBooth: Personalized Text-to-Motion Generation
by: Kim, Boeun, et al.
Published: (2025)

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation
by: Liu, Zexiang, et al.
Published: (2023)

GVGEN: Text-to-3D Generation with Volumetric Representation
by: He, Xianglong, et al.
Published: (2024)

OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions
by: Bu, Wendong, et al.
Published: (2025)

FrankenMotion: Part-level Human Motion Generation and Composition
by: Li, Chuqiao, et al.
Published: (2026)

Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions
by: Liao, Ting-Hsuan, et al.
Published: (2025)

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

Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
by: Wu, Qi, et al.
Published: (2024)

MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs
by: He, Xianglong, et al.
Published: (2025)

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

Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
by: Yu, Qing, et al.
Published: (2024)

GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
by: Lv, Jiaxi, et al.
Published: (2023)

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