… Figure 1: High-quality image inpainting results generated by the proposed Pyramid-context …
Specifically, we propose a pyramid-context encoder, which progressively learns region …

… pretext tasks and leverage them in image inpainting. Motivated by this idea, we present a
fully context-aware image inpainting model named Semantic Pyramid Network (SPN), which …

… [12] proposed a pyramid context encoder network, which filled the holes from deep … Pyramid
Network (SRPNet) based on the image inpainting model to inpaint missing regions of images…

… for image restoration, however current image inpainting methods still … images with heavy
corruptions. In this paper, we propose a new image inpainting method termed Global Context …

… Alignment and Pyramidcontext Completion Network for video inpainting (… After alignment,
we further devise a pyramid-context … AS AN extension of image inpainting [1]–[4], video inpaint- …

… [55] further devise a pyramid-context encoder for higher learning effectiveness. Meanwhile,
some methods [23], [39] have been proposed to extract the information from the input mask, …

… image contexts, deep image inpainting models need to propagate information from distant
contexts … have achieved promising results, eg, Spatial Pyramid Dilation (SPD) in DeepGIN [54] …

… Here we use the filter pyramid of the VGG network as a higher-level representation of …
Since context encoder only inpaints 128x128 images and we failed to train the model for larger …

… pyramid transformer (APT) for image inpainting that recovers the structure and texture of an
image … PEN [46] brought out a generative network with a pyramid-context encoder and multi-…

… As Figure 2 shows, for image generation, the generator consists of a spatial context encoder …
image loss to supervise image inpainting. Pyramid Structure Loss We propose a pyramid …