|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
With the help of novel masks or scenes, we enhance the current datasets using synthesized shadow images.
This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples.
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image.
A user-centric method for fast, interactive, robust and high-quality shadow removal is presented.
In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts.
Specifically, a shadow image is fed into the first generator which produces a shadow detection mask.
#3 best model for Salient Object Detection on ISTD