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20172020
most citedLearning Perspective Undistortion of Portraits

6 citations · 14 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20204 cited

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…

cs.CV20202 cited

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…

cs.CV20196 cited

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…

cs.CV2018

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…

cs.CV2018

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…