Image Inpainting using Partial Convolution
Indian Institute of Technology Gandhinagar（印度理工学院甘地讷格尔分校）
英文摘要：
Image Inpainting is one of the very popular tasks in the field of image processing with broad applications in computer vision. In various practical applications, images are often deteriorated by noise due to the presence of corrupted, lost, or undesirable information. There have been various restoration techniques used in the past with both classical and deep learning approaches for handling such issues. Some traditional methods include image restoration by filling gap pixels using the nearby known pixels or using the moving average over the same. The aim of this paper is to perform image inpainting using robust deep learning methods that use partial convolution layers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
