Recently, a generative adversarial network (GAN)-based method employing the coarse-to-
fine network with the contextual attention module (CAM) has shown outstanding results in …

Among the various generative adversarial network (GAN)-based image inpainting methods,
a coarse-to-fine network with a contextual attention module (CAM) has shown remarkable …

Image inpainting is a process that allows filling in target regions with alternative contents by
estimating the suitable information from auxiliary data, either from surrounding areas or …

Image inpainting is the technique of filling-in the missing regions and removing unwanted
objects from an image by diffusing the pixel information from the neighbourhood pixels …

Image completion is an active and interesting research area in image processing and
computer graphics. Restoration and retouching of damaged areas in an undetectable form is …

Diffusion equations have been successfully applied in the field of digital image processing
for the past twenty years, describing the random motion of the particles in physics. Image …

Image inpainting refers to image restoration process that reconstruct damaged image to
obtain it lost information based on existing information. PDE-based approach is commonly …

Satisfactory image inpainting requires visually-exquisite details and semantically-plausible
structures, where encoder-decoder networks have shown their potentials but bear undesired …

Image Inpainting is the art of filling in missing data in an image. The purpose of inpainting is
to reconstruct missing regions in a visually plausible manner so that it seems reasonable to …

Various sensors can be attached and added to autonomous vehicles, included visual
cameras, radar, LiDAR (Light Detection And Ranging), and GNSS (Global Navigation …