activity
20222024
most citedSemantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis

39 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2024★ 39 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.GR2024★ 1 cited

Cinematographic Camera Diffusion Model

Hongda Jiang, Xi Wang, Marc Christie +2

Designing effective camera trajectories in virtual 3D environments is a challenging task even for experienced animators. Despite an elaborate film grammar, forged through years of…

cs.CV2023

MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations

Heyuan Yao, Zhenhua Song, Yuyang Zhou +3

In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations. Building upon vector quantized variationa…

cs.CV2022★ 1 cited

Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors

Yiming Wang, Qingzhe Gao, Libin Liu +3

We propose a new method for learning a generalized animatable neural human representation from a sparse set of multi-view imagery of multiple persons. The learned representation ca…