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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 …
Infinigen indoors: Photorealistic indoor scenes using procedural generation
Abstract We introduce Infinigen Indoors a Blender-based procedural generator of
photorealistic indoor scenes. It builds upon the existing Infinigen system which focuses on …
photorealistic indoor scenes. It builds upon the existing Infinigen system which focuses on …
Spatially-adaptive image restoration using distortion-guided networks
We present a general learning-based solution for restoring images suffering from spatially-
varying degradations. Prior approaches are typically degradation-specific and employ the …
varying degradations. Prior approaches are typically degradation-specific and employ the …
Dc-shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network
Shadow removal from a single image is generally still an open problem. Most existing
learning-based methods use supervised learning and require a large number of paired …
learning-based methods use supervised learning and require a large number of paired …
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 …
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 …