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20182026
most cited3D Gaussian Blendshapes for Head Avatar Animation

53 citations · 193 across the 22 of their papers we have counts for

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7 papers · 1 filter

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.GR2025

Real-time High-fidelity Gaussian Human Avatars with Position-based Interpolation of Spatially Distributed MLPs

Youyi Zhan, Tianjia Shao, Yin Yang +1

Many works have succeeded in reconstructing Gaussian human avatars from multi-view videos. However, they either struggle to capture pose-dependent appearance details with a single…

cs.GR2024

Elastic Locomotion with Mixed Second-order Differentiation

Siyuan Shen, Tianjia Shao, Kun Zhou +4

We present a framework of elastic locomotion, which allows users to enliven an elastic body to produce interesting locomotion by prescribing its high-level kinematics. We formulate…

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.GR2023★ 9 cited

A Locality-based Neural Solver for Optical Motion Capture

Xiaoyu Pan, Bowen Zheng, Xinwei Jiang +8

We present a novel locality-based learning method for cleaning and solving optical motion capture data. Given noisy marker data, we propose a new heterogeneous graph neural network…

cs.GR2022★ 51 cited

Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks

Xiaoyu Pan, Jiaming Mai, Xinwei Jiang +6

We present a learning algorithm that uses bone-driven motion networks to predict the deformation of loose-fitting garment meshes at interactive rates. Given a garment, we generate…

cs.GR2018★ 51 cited

DeepWarp: DNN-based Nonlinear Deformation

Ran Luo, Tianjia Shao, Huamin Wang +3

DeepWarp is an efficient and highly re-usable deep neural network (DNN) based nonlinear deformable simulation framework. Unlike other deep learning applications such as image recog…