Shadow Removal
57 papers with code • 3 benchmarks • 6 datasets
Remove shadow from background
Most implemented papers
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.
Auto-Exposure Fusion for Single-Image 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.
Bijective Mapping Network for Shadow Removal
Shadow removal, which aims to restore the background in the shadow regions, is challenging due to the highly ill-posed nature.
Efficient Model-Driven Network for Shadow Removal
To address these issues, we first propose a new shadow illumination model for the shadow removal task.
Shadow-Aware Dynamic Convolution for Shadow Removal
Inspired by the fact that the color mapping of the non-shadow region is easier to learn, our SADC processes the non-shadow region with a lightweight convolution module in a computationally cheap manner and recovers the shadow region with a more complicated convolution module to ensure the quality of image reconstruction.
SpA-Former: Transformer image shadow detection and removal via spatial attention
In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image.
High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
We handle high-resolution document shadow removal directly via a larger-scale real-world dataset and a carefully designed frequency-aware network.
Interactive Removal and Ground Truth for Difficult Shadow Scenes
A user-centric method for fast, interactive, robust and high-quality shadow removal is presented.
User-Assisted Shadow Removal
To relight the image, a dense scale field is produced by in-painting the sparse scales.
An Iterative Approach for Shadow Removal in Document Images
Uneven illumination and shadows in document images cause a challenge for digitization applications and automated workflows.