activity
20172023
most citedSparse Data Driven Mesh Deformation

17 citations · 56 across the 10 of their papers we have counts for

collaborators

11 papers

cs.GR202315 cited

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…

cs.GR20221 cited

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…

cs.CV2021

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…

cs.CV20217 cited

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…

cs.GR20206 cited

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…

cs.CV20201 cited

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…