most citedA Unified Framework for Multimodal, Multi-Part Human Motion Synthesis

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 2 cited

Subobject-level Image Tokenization

Delong Chen, Samuel Cahyawijaya, Jianfeng Liu +2

Patch-based image tokenization ignores the morphology of the visual world, limiting effective and efficient learning of image understanding. Inspired by subword tokenization, we in…

cs.CV2023★ 2 cited

A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis

Zixiang Zhou, Yu Wan, Baoyuan Wang

The field has made significant progress in synthesizing realistic human motion driven by various modalities. Yet, the need for different methods to animate various body parts accor…

cs.CV2023★ 1 cited

AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond

Zixiang Zhou, Yu Wan, Baoyuan Wang

Large Language Models(LLMs) have shown remarkable emergent abilities in unifying almost all (if not every) NLP tasks. In the human motion-related realm, however, researchers still…

cs.CL2023★ 1 cited

DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models

Chengcheng Han, Xiaowei Du, Che Zhang +4

Chain-of-Thought (CoT) prompting has proven to be effective in enhancing the reasoning capabilities of Large Language Models (LLMs) with at least 100 billion parameters. However, i…

cs.SD2023

MDSC: Towards Evaluating the Style Consistency Between Music and Dance

Zixiang Zhou, Weiyuan Li, Baoyuan Wang

We propose MDSC(Music-Dance-Style Consistency), the first evaluation metric that assesses to what degree the dance moves and music match. Existing metrics can only evaluate the mot…