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[No.19]2019-7-13 Vectorization-based Color Transfer for Portrait Images

  • 2019年07月12日 21:44
  • 新IT卓越大讲堂
?新IT卓越大讲堂 No.19 期?Vectorization-based Color Transfer for Portrait Images题目: Vectorization-based Color Transfer for Portrait Images报告人: 贺英,新加坡南洋理工大学计算机科学和工程系副教授时间:?2019年7月13日 15: 00地点: 燕山校区1406主办:bet365投注网址_bet365亚洲娱乐_bet365平台娱乐?摘要: I will introduce a method for transferring colors between portrait images. Using a trained neural network to extract facial ...

新IT卓越大讲堂 No.19 期

?Vectorization-based Color Transfer for Portrait Images

题目: Vectorization-based Color Transfer for Portrait Images
报告人: 贺英,新加坡南洋理工大学计算机科学和工程系副教授
时间:?2019年7月13日 15: 00
地点: 燕山校区1406

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摘要: I will introduce a method for transferring colors between portrait images. Using a trained neural network to extract facial mask, we vectorize each image with a set of sparse diffusion curves to encode the low-frequency colors, and use the Laplacian of residual colors to represent the high-frequency details. Then we apply optimal mass transport to transfer the boundary colors between the diffusion curves of the source and reference images. Finally, the original or modified Laplacians of colors are added to the transferred diffusion curve image. Unlike the existing methods that either require 3D information or assume the source and reference images have similar poses and dense correspondence, our method is computationally efficient and flexible, which can work for portrait images with large pose and color differences.
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报告人简介: Ying He is currently an associate professor at School of Computer Engineering, Nanyang Technological University, Singapore. He received the BS and MS degrees in electrical engineering from Tsinghua University, China, and the PhD degree in computer science from Stony Brook University, USA. His research interests fall into the general areas of visual computing and he is particularly interested in the problems which require geometric analysis and computation.

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