activity
20232026
most citedEchoMask: Speech-Queried Attention-based Mask Modeling for Holistic Co-Speech Motion Generation

7 citations · 10 across the 9 of their papers we have counts for

collaborators

10 papers

cs.GR2026

DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation

Hequan Wang, Xuean Chen, Jiaxu Zhang +2

Text-to-motion generation requires modeling both global action structure and fine-grained motion dynamics from natural language. Existing approaches typically rely on either contin…

cs.CV2026

Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation

Shihao Cheng, Jiaxu Zhang, Quanyue Song +6

Motion, speech, and sound effects are fundamental elements of human-centric videos, yet their heterogeneous temporal characteristics make joint generation highly challenging. Exist…

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

DreamDance: Animating Character Art via Inpainting Stable Gaussian Worlds

Jiaxu Zhang, Xianfang Zeng, Xin Chen +4

This paper presents DreamDance, a novel character art animation framework capable of producing stable, consistent character and scene motion conditioned on precise camera trajector…

cs.GR2025★ 7 cited

EchoMask: Speech-Queried Attention-based Mask Modeling for Holistic Co-Speech Motion Generation

Xiangyue Zhang, Jianfang Li, Jiaxu Zhang +3

Masked modeling has shown promise in co-speech gesture generation. However, it struggles to identify semantically significant frames for effective motion masking. In this work, we…

cs.CV2024★ 1 cited

SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis

Xiangyue Zhang, Jianfang Li, Jiaxu Zhang +4

Co-speech gesture generation must carefully integrate common rhythmic motion with rare yet essential semantic gestures. In this work, we propose SemTalk for holistic co-speech gest…

cs.CV2024

MikuDance: Animating Character Art with Mixed Motion Dynamics

Jiaxu Zhang, Xianfang Zeng, Xin Chen +3

We propose MikuDance, a diffusion-based pipeline incorporating mixed motion dynamics to animate stylized character art. MikuDance consists of two key techniques: Mixed Motion Model…

cs.CV2024★ 1 cited

Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation

Yijie Yang, Jinlu Zhang, Jiaxu Zhang +1

In the realm of skeleton-based action recognition, the traditional methods which rely on coarse body keypoints fall short of capturing subtle human actions. In this work, we propos…

cs.CV2024

Generative Motion Stylization of Cross-structure Characters within Canonical Motion Space

Jiaxu Zhang, Xin Chen, Gang Yu +1

Stylized motion breathes life into characters. However, the fixed skeleton structure and style representation hinder existing data-driven motion synthesis methods from generating s…

cs.GR2023★ 1 cited

TapMo: Shape-aware Motion Generation of Skeleton-free Characters

Jiaxu Zhang, Shaoli Huang, Zhigang Tu +4

Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we pr…