… In this paper, we have reported and described a novel robust image completion network
using deep feature transformation framework for simultaneous geometric corrections and …

… In this paper, we proposed a deep learning network for robust image completion and
masking: CM-GAN. CM-GAN is configured with two auto-encoders playing a role of generators …

… image completion that results in images that are both locally and globally consistent. With a
fully-convolutional neural network, we can complete … Image repairing: robust image synthesis …

… From these examples of realistic scenes, we can see that our image completion
algorithm is robust to deviations from perfectly textured planar surfaces. In other words, our …

… We propose a robust and accurate noisy image completion algorithm which fills the missing
values and removes the noise in an damaged image simultaneously. Our algorithm follows …

… , or image styles. Once personalized, RealFill is able to complete a target image with visually
… We evaluate RealFill on a new image completion benchmark that covers a set of diverse …

… -based approach for image completion is proposed which … methods, we pose image
completion as a discrete global … to image completion but also to texture synthesis and image …

… Extensive experiments show that our method is effective and robust in blind image … VCN
is robust to blind image inpainting in the given relativistic generalized setting. Its robustness is …

… Numerical results of robust color image completion are given to show that the … image
inpainting methods,10, 11 the tensor-based completion method,13 and the quaternion completion …

… ; we need an efficient yet robust way of estimating a correct … robust and bidirectional image
translation capability of the proposed BA-DualAE to make direct yet robust image completion …