NTIRE 2024 image shadow removal challenge report
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building
on the last year edition the current challenge was organized in two tracks with a track …
on the last year edition the current challenge was organized in two tracks with a track …
Bijective map** 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. Most existing deep learning-based methods …
challenging due to the highly ill-posed nature. Most existing deep learning-based methods …
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
Auto-exposure fusion for single-image shadow removal
Shadow removal is still a challenging task due to its inherent background-dependent and
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …
spatial-variant properties, leading to unknown and diverse shadow patterns. Even powerful …
Bidirectional feature pyramid network with recurrent attention residual modules for shadow detection
This paper presents a network to detect shadows by exploring and combining global context
in deep layers and local context in shallow layers of a deep convolutional neural network …
in deep layers and local context in shallow layers of a deep convolutional neural network …