activity
20182026
most cited3D Gaussian Blendshapes for Head Avatar Animation

53 citations · 91 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2026★ 4 cited

As-Rigid-As-Possible Deformation of Gaussian Radiance Fields

Xinhao Tong, Tianjia Shao, Yanlin Weng +2

3D Gaussian Splatting (3DGS) models radiance fields as sparsely distributed 3D Gaussians, providing a compelling solution to novel view synthesis at high resolutions and real-time…

cs.CV2026

EchoAvatar: Real-time Generative Avatar Animation from Audio Streams

Bohong Chen, Yumeng Li, Yinglin Xu +3

Real-time synthesis of high-fidelity 3D character motion from audio is a pivotal component for next-generation interactive avatars and virtual assistants. However, most existing ap…

cs.CV2025

RGBAvatar: Reduced Gaussian Blendshapes for Online Modeling of Head Avatars

Linzhou Li, Yumeng Li, Yanlin Weng +2

We present Reduced Gaussian Blendshapes Avatar (RGBAvatar), a method for reconstructing photorealistic, animatable head avatars at speeds sufficient for on-the-fly reconstruction.…

cs.GR2024★ 53 cited

3D Gaussian Blendshapes for Head Avatar Animation

Shengjie Ma, Yanlin Weng, Tianjia Shao +1

We introduce 3D Gaussian blendshapes for modeling photorealistic head avatars. Taking a monocular video as input, we learn a base head model of neutral expression, along with a gro…

cs.GR2018★ 34 cited

H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

Tianjia Shao, Yin Yang, Yanlin Weng +2

We present a novel spatial hashing based data structure to facilitate 3D shape analysis using convolutional neural networks (CNNs). Our method well utilizes the sparse occupancy of…