Portrait shadow removal via self-exemplar illumination equalization

• Main Authors: HUANG, Qian, XU, Cheng, LI, Guiqing, WU, Ziheng, LIU, Shengxin, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2026
• Subjects: Portrait shadow removal; Self-exemplar illumination equalization; Correspondence feature matching; Image processing; Computational photography; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9767; https://ink.library.smu.edu.sg/context/sis_research/article/10767/viewcontent/3664647.3681000__1_.pdf
• Institution: Singapore Management University

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for effective portrait shadow removal. The core idea of our method is that partially shadowed portraits can find ideal exemplars within their non-shadowed facial regions. Rather than directly fusing two distinct...