Shadow Removal

20 papers with code • 1 benchmarks • 1 datasets

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Datasets


Greatest papers with code

Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

vinthony/ghost-free-shadow-removal 20 Nov 2019

With the help of novel masks or scenes, we enhance the current datasets using synthesized shadow images.

Scene Understanding Shadow Removal

Direction-aware Spatial Context Features for Shadow Detection and Removal

xw-hu/DSC 12 May 2018

This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner.

Shadow Detection And Removal Shadow Removal

Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

xw-hu/Mask-ShadowGAN ICCV 2019

This paper presents a new method for shadow removal using unpaired data, enabling us to avoid tedious annotations and obtain more diverse training samples.

Shadow Removal

Auto-Exposure Fusion for Single-Image Shadow Removal

tsingqguo/exposure-fusion-shadow-removal 1 Mar 2021

We conduct extensive experiments on the ISTD, ISTD+, and SRD datasets to validate our method's effectiveness and show better performance in shadow regions and comparable performance in non-shadow regions over the state-of-the-art methods.

Image Shadow Removal Shadow Removal

Learning from Synthetic Shadows for Shadow Detection and Removal

naoto0804/SynShadow 5 Jan 2021

To overcome this challenge, we present SynShadow, a novel large-scale synthetic shadow/shadow-free/matte image triplets dataset and a pipeline to synthesize it.

Shadow Detection And Removal Shadow Removal

Shadow Removal via Shadow Image Decomposition

naoto0804/SynShadow ICCV 2019

Training our model on this new augmented ISTD dataset further lowers the RMSE on the shadow area to 7. 4.

Shadow Removal

Physics-based Shadow Image Decomposition for Shadow Removal

cvlab-stonybrook/SID 23 Dec 2020

Inspired by physical models of shadow formation, we use a linear illumination transformation to model the shadow effects in the image that allows the shadow image to be expressed as a combination of the shadow-free image, the shadow parameters, and a matte layer.

Shadow Removal

Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?

acecreamu/angularGAN 15 Nov 2018

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.

Color Constancy Shadow Detection And Removal +1

Interactive Removal and Ground Truth for Difficult Shadow Scenes

hangong/deshadow 2 Aug 2016

A user-centric method for fast, interactive, robust and high-quality shadow removal is presented.

Shadow Removal

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

seungjun45/Water-Filling 22 Apr 2019

In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts.

Shadow Removal