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

… patches in the larger space of natural transformations (scale, rotation, brightness … image
completion using the state-of-the-art method of Wexler et al. [13] to include transformations, and …

… In this paper, we show how image completion can be substan… a prior probability of the patch
transformation parameters. As a … We handle this issue by constraining the transformation …

… completion by imposing the linear transformations into the conventional NNM framework. In
contrast to the conventional NNM model, we minimize a sum of nuclear norms of the linearly …

… image that shares scene contents with the target image. We first align the source image to the
target image by … to each homography-warped source image to make it more consistent with …

… learn the complete tags for images. In this paper, we study the problem of image tag complete
and proposed a novel method for this problem based on a popular image representation …

… known perspective transforms, we can apply the same transformations to the α-matte and
hence the roles of source and target buffers can be exchanged in the image completion phase. …

… of transposed convolutions to decode features from AOT blocks to a completed image as the
final … architectures and CNNs to achieve both high-fidelity and diversified image completion. …

… , 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 …

… image completion results by specifying various image structures. Second, we automatically
generate the transformation … as soft constraints in guiding the completion process. Third, we …