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[PDF][PDF] The age of synthetic realities: Challenges and opportunities
Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …
Single-image reflection removal using deep learning: a systematic review
Images captured through the glass often consist of undesirable specular reflections. These
reflections detected in front of the glass remarkably reduce the quality and visibility of the …
reflections detected in front of the glass remarkably reduce the quality and visibility of the …
Polarized reflection removal with perfect alignment in the wild
We present a novel formulation to removing reflection from polarized images in the wild. We
first identify the misalignment issues of existing reflection removal datasets where the …
first identify the misalignment issues of existing reflection removal datasets where the …
Language-guided image reflection separation
This paper studies the problem of language-guided reflection separation which aims at
addressing the ill-posed reflection separation problem by introducing language descriptions …
addressing the ill-posed reflection separation problem by introducing language descriptions …
Robust reflection removal with reflection-free flash-only cues
We propose a simple yet effective reflection-free cue for robust reflection removal from a pair
of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image …
of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image …
Deep adversarial decomposition: A unified framework for separating superimposed images
Separating individual image layers from a single mixed image has long been an important
but challenging task. We propose a unified framework named" deep adversarial …
but challenging task. We propose a unified framework named" deep adversarial …
Blind image decomposition
We propose and study a novel task named B lind I mage D ecomposition (BID), which
requires separating a superimposed image into constituent underlying images in a blind …
requires separating a superimposed image into constituent underlying images in a blind …
Revisiting single image reflection removal in the wild
This research focuses on the issue of single-image reflection removal (SIRR) in real-world
conditions examining it from two angles: the collection pipeline of real reflection pairs and …
conditions examining it from two angles: the collection pipeline of real reflection pairs and …
Light flickering guided reflection removal
When photographing through a piece of glass, reflections usually degrade the quality of
captured images or videos. In this paper, by exploiting periodically varying light flickering …
captured images or videos. In this paper, by exploiting periodically varying light flickering …
Deep-masking generative network: A unified framework for background restoration from superimposed images
Restoring the clean background from the superimposed images containing a noisy layer is
the common crux of a classical category of tasks on image restoration such as image …
the common crux of a classical category of tasks on image restoration such as image …