Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure
The advent of suction-cup-dildos deep learning in the past decade has significantly helped advance image inpainting.Although achieving promising performance, deep learning-based inpainting algorithms still struggle from the distortion caused by the fusion of structural and contextual features, which are commonly obtained from, respectively, deep an