In photo editing, it is common practice to remove visual distractions to...
Wires and powerlines are common visual distractions that often undermine...
Structure-guided image completion aims to inpaint a local region of an i...
Recently, deep models have established SOTA performance for low-resoluti...
Image inpainting is an essential task for multiple practical application...
Optical flow computation is essential in the early stages of the video
p...
Recent image inpainting methods have made great progress but often strug...
Reference-guided image inpainting restores image pixels by leveraging th...
Multi-Layer Perceptrons (MLPs) make powerful functional representations ...
Image inpainting is the task of plausibly restoring missing pixels withi...
Deep networks for image processing typically learn from RGB pixels. This...
Due to the ubiquity of smartphones, it is popular to take photos of one'...
The ability to generate complex and realistic human body animations at s...
In image morphing, a sequence of plausible frames are synthesized and
co...
Existing image inpainting methods typically fill holes by borrowing
info...
This paper addresses the problem of interpolating visual textures. We
fo...
In neural networks, it is often desirable to work with various
represent...
This paper introduces a general method to approximate the convolution of...
Image compositing is a method used to generate realistic yet fake imager...
Recently, methods have been proposed that perform texture synthesis and ...
In this paper, we introduce the problem of simultaneously detecting mult...