167 citations · 205 across the 8 of their papers we have counts for
8 papers
Parametric Reshaping of Portraits in Videos
Xiangjun Tang, Wenxin Sun, Yong-Liang Yang +1
Sharing short personalized videos to various social media networks has become quite popular in recent years. This raises the need for digital retouching of portraits in videos. How…
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction
Xiaoyu Pan, Jiancong Huang, Jiaming Mai +5
Character rigging is universally needed in computer graphics but notoriously laborious. We present a new method, HeterSkinNet, aiming to fully automate such processes and significa…
Example-based Real-time Clothing Synthesis for Virtual Agents
Nannan Wu, Qianwen Chao, Yanzhen Chen +7
We present a real-time cloth animation method for dressing virtual humans of various shapes and poses. Our approach formulates the clothing deformation as a high-dimensional functi…
Signed Distance Fields Dynamic Diffuse Global Illumination
Jinkai Hu, Milo Yip, G. Elias Alonso +3
Global Illumination (GI) is of utmost importance in the field of photo-realistic rendering. However, its computation has always been very complex, especially diffuse GI. State of t…
FASTSWARM: A Data-driven FrAmework for Real-time Flying InSecT SWARM Simulation
Wei Xiang, Xinran Yao, He Wang +1
Insect swarms are common phenomena in nature and therefore have been actively pursued in computer animation. Realistic insect swarm simulation is difficult due to two challenges: h…
Progressive Feature Polishing Network for Salient Object Detection
Bo Wang, Quan Chen, Min Zhou +3
Feature matters for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered feat…
Heter-Sim: Heterogeneous multi-agent systems simulation by interactive data-driven optimization
Jiaping Ren, Wei Xiang, Yangxi Xiao +3
Interactive multi-agent simulation algorithms are used to compute the trajectories and behaviors of different entities in virtual reality scenarios. However, current methods involv…
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking
Xingping Dong, Jianbing Shen, Dongming Wu +3
In the same vein of discriminative one-shot learning, Siamese networks allow recognizing an object from a single exemplar with the same class label. However, they do not take advan…