Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …

Inpainting arbitrary missing regions is challenging because learning valid features for
various masked regions is nontrivial. Though U-shaped encoder-decoder frameworks have …

Prompt learning has attracted broad attention in computer vision since the large pre-trained
vision-language models (VLMs) exploded. Based on the close relationship between vision …

Nonlocal texture similarity and local intensity smoothness are both essential for solving most
image inpainting problems. In this paper, we propose a novel image inpainting algorithm …

Despite significant research focus on 3D scene capture systems, numerous unresolved
challenges remain in relation to achieving full coverage scene depth estimation which is the …

We present a novel method that can enhance the spatial resolution of stereo images using a
parallax prior. While traditional stereo imaging has focused on estimating depth from stereo …

Image inpainting aims to generate realistic content for missing regions of an image. Existing
methods often struggle to produce visually coherent content for missing regions of an image …

We propose a novel video inpainting algorithm that simultaneously hallucinates missing
appearance and motion (optical flow) information, building upon the recent'Deep Image …

Neural Style Transfer based on Convolutional Neural Networks (CNN) aims to synthesize a
new image that retains the high-level structure of a content image, rendered in the low-level …

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 …