activity
20232026
most citedHuman Motion Generation: A Survey

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

Mengfei Zhang, Jinlu Zhang, Zhigang Tu

Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing…

cs.CV2025

OpenDance: Multimodal Controllable 3D Dance Generation with Large-scale Internet Data

Jinlu Zhang, Zixi Kang, Libin Liu +4

Music-driven 3D dance generation offers significant creative potential, yet practical applications demand versatile and multimodal control. As the highly dynamic and complex human…

cs.CV2025

InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing

Jinlu Zhang, Yixin Chen, Zan Wang +3

Recent advances in 3D human-aware generation have made significant progress. However, existing methods still struggle with generating novel Human Object Interaction (HOI) from text…

cs.CV2024

Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance

Zan Wang, Yixin Chen, Baoxiong Jia +7

Despite significant advancements in text-to-motion synthesis, generating language-guided human motion within 3D environments poses substantial challenges. These challenges stem pri…

cs.CV2023★ 1 cited

Human Motion Generation: A Survey

Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro +6

Human motion generation aims to generate natural human pose sequences and shows immense potential for real-world applications. Substantial progress has been made recently in motion…