22 citations · 58 across the 8 of their papers we have counts for
8 papers
Learning Formation of Physically-Based Face Attributes
Ruilong Li, Karl Bladin, Yajie Zhao +8
Based on a combined data set of 4000 high resolution facial scans, we introduce a non-linear morphable face model, capable of producing multifarious face geometry of pore-level res…
Intuitive, Interactive Beard and Hair Synthesis with Generative Models
Kyle Olszewski, Duygu Ceylan, Jun Xing +4
We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challeng…
Learning Perspective Undistortion of Portraits
Yajie Zhao, Zeng Huang, Tianye Li +6
Near-range portrait photographs often contain perspective distortion artifacts that bias human perception and challenge both facial recognition and reconstruction techniques. We pr…
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions
Weikai Chen, Xiaoguang Han, Guanbin Li +4
Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its ext…
Identity Preserving Face Completion for Large Ocular Region Occlusion
Yajie Zhao, Weikai Chen, Jun Xing +5
We present a novel deep learning approach to synthesize complete face images in the presence of large ocular region occlusions. This is motivated by recent surge of VR/AR displays…
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
Yi Zhou, Liwen Hu, Jun Xing +4
We introduce a deep learning-based method to generate full 3D hair geometry from an unconstrained image. Our method can recover local strand details and has real-time performance.…