Bridging global context interactions for high-fidelity image completion

• Main Authors: Zheng, Chuanxia, Cham, Tat-Jen, Cai, Jianfei, Phung, Dinh
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Radio Frequency; Convolutional Codes
• Online Access: https://hdl.handle.net/10356/172659
• Institution: Nanyang Technological University

Bridging global context interactions correctly is important for high-fidelity image completion with large masks. Previous methods attempting this via deep or large receptive field (RF) convolutions cannot escape from the dominance of nearby interactions, which may be inferior. In this paper, we prop...