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High-resolution document shadow removal via a large-scale real-world dataset and a frequency-aware shadow erasing net
Shadows often occur when we capture the document with casual equipment, which
influences the visual quality and readability of the digital copies. Different from the …
influences the visual quality and readability of the digital copies. Different from the …
[Free GPT-4]
[DeepSeek]
[DeepSeek]
Diffusion models have revolutionized image editing but often generate images that violate
physical laws, particularly the effects of objects on the scene, eg, occlusions, shadows, and …
physical laws, particularly the effects of objects on the scene, eg, occlusions, shadows, and …
From darkness to clarity: A comprehensive review of contemporary image shadow removal research (2017–2023)
The removal of shadows from images is a classic problem in computer vision, aiming to
restore the lighting in shadowed areas, thereby reducing the information interference and …
restore the lighting in shadowed areas, thereby reducing the information interference and …
Latent feature-guided diffusion models for shadow removal
Recovering textures beneath shadows has remained a challenging problem due to the
inherent difficulty of inferring shadow-free scenes from shadow images. In this paper, we …
inherent difficulty of inferring shadow-free scenes from shadow images. In this paper, we …
Leveraging inpainting for single-image shadow removal
Fully-supervised shadow removal methods achieve the best restoration qualities on public
datasets but still generate some shadow remnants. One of the reasons is the lack of large …
datasets but still generate some shadow remnants. One of the reasons is the lack of large …