Pro-pulse: Learning progressive encoders of latent semantics in gans for photo upsampling

• Main Authors: ZHOU, Yang, XU, Yangyang, DU, Yong, WEN, Qiang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Photo upsampling; GANs; progressive learning; latent space; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7877
• Institution: Singapore Management University

The state-of-the-art photo upsampling method, PULSE, demonstrates that a sharp, high-resolution (HR) version of a given low-resolution (LR) input can be obtained by exploring the latent space of generative models. However, mapping an extreme LR input (16(2)) directly to an HR image (1024(2)) is too...