We present a method for adding parallax and real-time playback of 360° videos in Virtual
Reality headsets. In current video players, the playback does not respond to translational …

Monocular depth predictors are typically trained on large-scale training sets which are
naturally biased wrt the distribution of camera poses. As a result, trained predictors fail to …

Image inpainting is now-a-days sought after due to its wide variety of applications in the
reconstruction of the corrupted image, occlusion removal, reflection removal, etc. Existing …

Completing a corrupted image by filling in correct structures and reasonable textures for a
complex scene remains an elusive challenge. In case that a missing hole involves diverse …

Video inpainting gains an increasing amount of attention ascribed to its wide applications in
intelligent video editing. However, despite tremendous progress made in RGB video …

Image inpainting is one of the most important and widely used approaches where input
image is synthesized at the missing regions. This has various applications like undesired …

This paper proposes a disocclusion inpainting framework for depth-based view synthesis. It
consists of four modules: foreground extraction, motion compensation, improved …

Image inpainting is a reconstruction method, where a corrupted image consisting of holes is
filled with the most relevant contents from the valid region of an image. To inpaint an image …

Deep learning based inpainting methods have obtained promising performance for image
restoration, however current image inpainting methods still tend to produce unreasonable …

Deep image inpainting methods have improved the inpainting performance greatly due to
the powerful representation ability of deep learning. However, current deep inpainting …