Reflection Removal
29 papers with code • 5 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Reflection Removal
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CDR
SlowFlow
PolarRR
Most implemented papers
Single Image Reflection Removal Using Deep Encoder-Decoder Network
LastReLU/Reflection-Separation
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Image of a scene captured through a piece of transparent and reflective material, such as glass, is often spoiled by a superimposed layer of reflection image.
Single Image Reflection Separation with Perceptual Losses
ceciliavision/perceptual-reflection-removal
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CVPR 2018
Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.
Single Image Reflection Removal through Cascaded Refinement
IBCLN is a cascaded network that iteratively refines the estimates of transmission and reflection layers in a manner that they can boost the prediction quality to each other, and information across steps of the cascade is transferred using an LSTM.
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
fqnchina/CEILNet
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ICCV 2017
This paper proposes a deep neural network structure that exploits edge information in addressing representative low-level vision tasks such as layer separation and image filtering.
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network
Removing the undesired reflections from images taken through the glass is of broad application to various computer vision tasks.
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal
yangj1e/bdn-refremv
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ECCV 2018
Reflections often obstruct the desired scene when taking photos through glass panels.
Fourier-Domain Optimization for Image Processing
Image optimization problems encompass many applications such as spectral fusion, deblurring, deconvolution, dehazing, matting, reflection removal and image interpolation, among others.
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
Vandermode/ERRNet
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CVPR 2019
Removing undesirable reflections from a single image captured through a glass window is of practical importance to visual computing systems.
Single Image Reflection Removal with Physically-Based Training Images
sookim813/Reflection_removal_rendering
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CVPR 2020
Recently, deep learning-based single image reflection separation methods have been exploited widely.
Semantic Guided Single Image Reflection Removal
Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorithms.
