Shadow Removal
20 papers with code • 1 benchmarks • 1 datasets
Benchmarks
| Trend | Dataset | Best Model | Paper Title | Paper | Code | Compare |
|---|---|---|---|---|---|---|
|
Doc3DShade
Greatest papers with code
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
vinthony/ghost-free-shadow-removal
•
•
With the help of novel masks or scenes, we enhance the current datasets using synthesized shadow images.
Direction-aware Spatial Context Features for Shadow Detection and Removal
xw-hu/DSC
•
•
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.
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.
Auto-Exposure Fusion for Single-Image Shadow Removal
tsingqguo/exposure-fusion-shadow-removal
•
•
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.
Learning from Synthetic Shadows for Shadow Detection and Removal
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 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.
Ranked #2 on
Shadow Removal
on Adjusted ISTD
Physics-based Shadow Image Decomposition for Shadow Removal
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.
Ranked #1 on
Shadow Removal
on Adjusted ISTD
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
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.
Interactive Removal and Ground Truth for Difficult Shadow Scenes
A user-centric method for fast, interactive, robust and high-quality shadow removal is presented.
Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts.