activity
20212026
most citedSemantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis

39 citations · 42 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

SentiAvatar: Towards Expressive and Interactive Digital Humans

Chuhao Jin, Rui Zhang, Qingzhe Gao +5

We present SentiAvatar, a framework for building expressive interactive 3D digital humans, and use it to create SuSu, a virtual character that speaks, gestures, and emotes in real…

cs.CV2025

ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking

Tingyang Zhang, Chen Wang, Zhiyang Dou +4

We propose ProTracker, a novel framework for accurate and robust long-term dense tracking of arbitrary points in videos. Previous methods relying on global cost volumes effectively…

cs.GR202439 cited

Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis

Zeyi Zhang, Tenglong Ao, Yuyao Zhang +4

In this work, we present Semantic Gesticulator, a novel framework designed to synthesize realistic gestures accompanying speech with strong semantic correspondence. Semantically me…

cs.CV2024

BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion Priors

Tingyang Zhang, Qingzhe Gao, Weiyu Li +2

Animatable 3D reconstruction has significant applications across various fields, primarily relying on artists' handcraft creation. Recently, some studies have successfully construc…

cs.CV2023

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images

Jiatao Gu, Qingzhe Gao, Shuangfei Zhai +3

Diffusion models have recently become the de-facto approach for generative modeling in the 2D domain. However, extending diffusion models to 3D is challenging due to the difficulti…

cs.CV20213 cited

Unsupervised Co-part Segmentation through Assembly

Qingzhe Gao, Bin Wang, Libin Liu +1

Co-part segmentation is an important problem in computer vision for its rich applications. We propose an unsupervised learning approach for co-part segmentation from images. For th…