Delving into important samples of semi-supervised old photo restoration: A new dataset and method

• Main Authors: CAI, Werwei, ZHANG, Huaidong, XU, Xuemiao, XU, Chenshu, ZHANG, Kun, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: contrastive learning; Correlation; Image restoration; Old photo restoration; Reliability; semi-supervised learning; Semisupervised learning; Task analysis; Training data; Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8820
• Institution: Singapore Management University

The degradation of printed photographs due to inadequate preservation is a major problem that can be addressed through deep learning-based restoration methods. However, these methods are often limited by their reliance on annotated data, making them less effective for new domains with limited traini...