18 citations · 101 across the 15 of their papers we have counts for
15 papers
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
Zhenfeng Fan, Zhiheng Zhang, Shuang Yang +3
While impressive progress has recently been made in image-oriented facial attribute translation, shape-oriented 3D facial attribute translation remains an unsolved issue. This is p…
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
Lei Hu, Zihao Zhang, Chongyang Zhong +2
Motion retargeting is a fundamental problem in computer graphics and computer vision. Existing approaches usually have many strict requirements, such as the source-target skeletons…
Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users
Yongjing Ye, Libin Liu, Lei Hu +1
Animating an avatar that reflects a user's action in the VR world enables natural interactions with the virtual environment. It has the potential to allow remote users to communica…
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction
Chongyang Zhong, Lei Hu, Zihao Zhang +2
Predicting future motion based on historical motion sequence is a fundamental problem in computer vision, and it has wide applications in autonomous driving and robotics. Some rece…
Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method
Zhenfeng Fan, Silong Peng, Shihong Xia
Dense vertex-to-vertex correspondence between 3D faces is a fundamental and challenging issue for 3D&2D face analysis. While the sparse landmarks have anatomically ground-truth cor…
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
Qianyun Wang, Zhenfeng Fan, Shihong Xia
Impressive progress has been made in audio-driven 3D facial animation recently, but synthesizing 3D talking-head with rich emotion is still unsolved. This is due to the lack of 3D…
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang, Lin Gao, Qingyang Tan +3
Deformation component analysis is a fundamental problem in geometry processing and shape understanding. Existing approaches mainly extract deformation components in local regions a…
A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment
Xu Sun, Zhenfeng Fan, Zihao Zhang +2
Heatmap regression based face alignment has achieved prominent performance on static images. However, the stability and accuracy are remarkably discounted when applying the existin…
Deep Generation of Face Images from Sketches
Shu-Yu Chen, Wanchao Su, Lin Gao +2
Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiri…
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
Zhiyong Wang, Jinxiang Chai, Shihong Xia
This paper introduces a new generative deep learning network for human motion synthesis and control. Our key idea is to combine recurrent neural networks (RNNs) and adversarial tra…
Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS
Shihong Xia, Zihao Zhang, Le Su
There are increasing real-time live applications in virtual reality, where it plays an important role in capturing and retargetting 3D human pose. But it is still challenging to es…
Sparse Data Driven Mesh Deformation
Lin Gao, Yu-Kun Lai, Jie Yang +3
Example-based mesh deformation methods are powerful tools for realistic shape editing. However, existing techniques typically combine all the example deformation modes, which can l…
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan, Lin Gao, Yu-Kun Lai +1
3D geometric contents are becoming increasingly popular. In this paper, we study the problem of analyzing deforming 3D meshes using deep neural networks. Deforming 3D meshes are fl…
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan, Lin Gao, Yu-Kun Lai +2
Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing. Several methods have recently been developed, with an aim to…
Temporal Upsampling of Depth Maps Using a Hybrid Camera
Ming-Ze Yuan, Lin Gao, Hongbo Fu +1
In recent years, consumer-level depth cameras have been adopted for various applications. However, they often produce depth maps at only a moderately high frame rate (approximately…