activity
20232026
most citedMCM: Multi-condition Motion Synthesis Framework

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PRISM: Streaming Human Motion Generation with Per-Joint Latent Decomposition

Zeyu Ling, Qing Shuai, Teng Zhang +3

Text-to-motion generation has advanced with larger corpora and stronger generators, yet many models still rely on holistic frame- or clip-level latents that entangle trajectory, or…

cs.CV2024

VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension

Zeyu Ling, Bo Han, Shiyang Li +3

Large language models (LLMs) are, by design, inherently capable of multi-task learning: through a unified next-token prediction paradigm, they can naturally address a wide variety…

cs.CV2024★ 1 cited

MCM: Multi-condition Motion Synthesis Framework

Zeyu Ling, Bo Han, Yongkang Wongkan +3

Conditional human motion synthesis (HMS) aims to generate human motion sequences that conform to specific conditions. Text and audio represent the two predominant modalities employ…

cs.SD2023

EnchantDance: Unveiling the Potential of Music-Driven Dance Movement

Bo Han, Teng Zhang, Zeyu Ling +1

The task of music-driven dance generation involves creating coherent dance movements that correspond to the given music. While existing methods can produce physically plausible dan…

cs.CV2023★ 1 cited

MCM: Multi-condition Motion Synthesis Framework for Multi-scenario

Zeyu Ling, Bo Han, Yongkang Wong +2

The objective of the multi-condition human motion synthesis task is to incorporate diverse conditional inputs, encompassing various forms like text, music, speech, and more. This e…