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Separating Reflection and Transmission Images in the Wild [article]

Patrick Wieschollek, Orazio Gallo, Jinwei Gu, Jan Kautz
2018 arXiv   pre-print
State-of-the-art methods can remove reflections on synthetic data and in controlled scenarios. However, they are based on strong assumptions and do not generalize well to real-world images.  ...  We present a deep learning approach to separate the reflected and the transmitted components of the recorded irradiance, which explicitly uses the polarization properties of light.  ...  Acknowledgments We thank the reviewers for their feedback, in particular the reviewer who suggested the experiment in Fig. 7 , Hendrik P.A.  ... 
arXiv:1712.02099v2 fatcat:2pdny5nk55empbj325llizutoy

Single Image Reflection Removal With Physically-Based Training Images

Soomin Kim, Yuchi Huo, Sung-Eui Yoon
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Recently, deep learning-based single image reflection separation methods have been exploited widely.  ...  In this paper, physically based rendering is used for faithfully synthesizing the required training images, and a corresponding network structure and loss term are proposed.  ...  Sung-Eui Yoon and Yuchi Huo are cocorresponding authors of the paper. This work was supported by MSIT/NRF (No. 2019R1A2C3002833) and SW Starlab program (IITP-2015-0-00199)  ... 
doi:10.1109/cvpr42600.2020.00521 dblp:conf/cvpr/KimHY20 fatcat:sskn3lx63veslbbaxhm4o7afti

What Does Plate Glass Reveal About Camera Calibration?

Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
This paper aims to calibrate the orientation of glass and the field of view of the camera from a single reflectioncontaminated image.  ...  We demonstrate that our method not only facilitates a general single image camera calibration method that leverages image contents but also contributes to improving the performance of single image reflection  ...  This property is widely studied in the topic of multi-image reflection separation using polarization (e.g., [25, 54, 33] ), while seldom considered in the context of single image reflection separation  ... 
doi:10.1109/cvpr42600.2020.00309 dblp:conf/cvpr/ZhengCLSJYDK20 fatcat:h26zvej4qba3vgeiccmhsmmbba

A Categorized Reflection Removal Dataset with Diverse Real-world Scenes [article]

Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen
2021 arXiv   pre-print
A pipeline based on RAW data is used to capture perfectly aligned input images and transmission images.  ...  Furthermore, existing real-world benchmarks and datasets do not categorize image data based on the types and appearances of reflection (e.g., smoothness, intensity), making it hard to analyze reflection  ...  In the SIR 2 dataset, only collected 55 pairs of images with ground-truth transmission in the wild.  ... 
arXiv:2108.03380v1 fatcat:let7e3bvgjh43k2pqih7fmz3bq

Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal [article]

Sutanu Bera, Prabir Kumar Biswas
2021 arXiv   pre-print
Next, to further supervise the network in learning the correlation between the transmission layer features, we proposed a feature co-occurrence loss.  ...  In this study, we proposed an iterative gradient encoding network for single image reflection removal.  ...  In Figure 2 we have given an example reflection image taken from wild screen subset of SIR 2 dataset, and estimated transmission image at different iteration is shown on the right-hand side.  ... 
arXiv:2103.15903v1 fatcat:hcdjhv7cs5d4tfxa5aqihcq6ye

ReflectNet – A Generative Adversarial Method for Single Image Reflection Suppression [article]

Andreea Birhala, Ionut Mironica
2021 arXiv   pre-print
In this paper, we proposed a single image reflection removal method based on context understanding modules and adversarial training to efficiently restore the transmission layer without reflection.  ...  Our proposed reflection removal method outperforms state-of-the-art methods in terms of PSNR and SSIM on the SIR benchmark dataset.  ...  In this paper we propose a novel single image reflection removal network designed to capture contextual information in order to achieve an efficient separation between reflection and transmission layer  ... 
arXiv:2105.05216v1 fatcat:fjhchr5jvzg2nejvf7qfj7kgry

Single Image Reflection Removal with Physically-Based Training Images [article]

Soomin Kim, Yuchi Huo, Sung-Eui Yoon
2020 arXiv   pre-print
Recently, deep learning-based single image reflection separation methods have been exploited widely.  ...  To benefit the learning approach, a large number of training image pairs (i.e., with and without reflections) were synthesized in various ways, yet they are away from a physically-based direction.  ...  Sung-Eui Yoon and Yuchi Huo are cocorresponding authors of the paper. This work was supported by MSIT/NRF (No. 2019R1A2C3002833) and SW Starlab program (IITP-2015-0-00199)  ... 
arXiv:1904.11934v2 fatcat:rhnjkn5eqbainglfaqfyuhyyc4

Single Image Reflection Removal

Yossra Ali, Maisa Mohsen
2019 Diyala Journal for Pure Science  
The proposed algorithm separates the single input image into background layer (actual scene) and the reflection layer by clustering mixture image pixels, using the prior knowledge that the background edges  ...  This paper presents a proposed algorithm for removing undesired reflections from a single mixture image captured in front of transparent glass mediums.  ...  Also ghosting artifacts are exploited in [22] to separate the layers using the GMM (Gaussian Mixture Model) for regularization, and authors in [23] generated transmission and reflection edge maps  ... 
doi:10.24237/djps.15.03.478b fatcat:wb4yuz23orcwpfnnt3wcc4vbza

Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance [article]

Yu Li, Ming Liu, Yaling Yi, Qince Li, Dongwei Ren, Wangmeng Zuo
2021 arXiv   pre-print
By incorporating feature maps from the estimated reflection and observation, RAG can be used (i) to mitigate the effect of reflection from the observation, and (ii) to generate mask in partial convolution  ...  For improving reflection removal, cascaded deep models have been usually adopted to estimate the transmission in a progressive manner.  ...  The images are from Real 20 and SIR 2 Wild datasets, respectively. Please zoom in for better observation. ate reflection-aware guidance.  ... 
arXiv:2012.00945v2 fatcat:3thsz37wxfcwdpwiur2tv7hsvm

Reflection Separation using a Pair of Unpolarized and Polarized Images

Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, Boxin Shi
2019 Neural Information Processing Systems  
In this paper, we propose to exploit physical constraints from a pair of unpolarized and polarized images to separate reflection and transmission layers.  ...  Separating two layers apart to enhance the image quality is of vital importance for both human and machine perception.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China under Grant 61872012 and 61702047.  ... 
dblp:conf/nips/LyuCLPS19 fatcat:si2d4meypbelfjjntnrxquv4za

Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation [article]

Qiming Hu, Xiaojie Guo
2021 arXiv   pre-print
Single image reflection separation (SIRS), as a representative blind source separation task, aims to recover two layers, $\textit{i.e.}$, transmission and reflection, from one mixed observation, which  ...  Both ablation studies and experimental results on widely-used SIRS datasets are conducted to demonstrate the efficacy of YTMT, and reveal its superiority over other state-of-the-art alternatives.  ...  Acknowledgement This work was supported by the National Natural Science Foundation of China under Grant nos. 62072327 and 61772512, and TSTC under Grant no. 20JCQNJC01510.  ... 
arXiv:2110.10546v1 fatcat:q5vyemx2enhajfa2pule5sdlve

Polarized Reflection Removal With Perfect Alignment in the Wild

Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, Qifeng Chen
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
We present a novel formulation to removing reflection from polarized images in the wild.  ...  In addition, we design a novel perceptual NCC loss that can improve the performance of reflection removal and general image decomposition tasks.  ...  An image with reflection is a mixture of reflection and transmission, as shown in Fig. 1 .  ... 
doi:10.1109/cvpr42600.2020.00182 dblp:conf/cvpr/LeiHZYSC20 fatcat:wbqbm6qjujhlllqygcuwucebhm

Polarized Reflection Removal with Perfect Alignment in the Wild [article]

Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun and Qifeng Chen
2020 arXiv   pre-print
We present a novel formulation to removing reflection from polarized images in the wild.  ...  In addition, we design a novel perceptual NCC loss that can improve the performance of reflection removal and general image decomposition tasks.  ...  An image with reflection is a mixture of reflection and transmission, as shown in Fig. 1 .  ... 
arXiv:2003.12789v1 fatcat:ijctcflga5csjjga26jwk6he2y

Expression and Function of SNAP-25 as a Universal SNARE Component in GABAergic Neurons

L. C. R. Tafoya, M. Mameli, T. Miyashita, J. F. Guzowski, C. F. Valenzuela, M. C. Wilson
2006 Journal of Neuroscience  
AP-independent events intact, supporting the involvement of SNAP-25 in the regulated synaptic transmission of early developing GABAergic neurons.  ...  To examine whether SNAP-25 participates in the evoked release of other neurotransmitters, we investigated the expression and function of SNAP-25 in GABAergic terminals.  ...  B1-B3, D1-D3, F1-F3, and H1-H3 are series of separated color and merged images at higher digital magnification of the areas outlined in the low-power images (scale bar, 20 m).  ... 
doi:10.1523/jneurosci.1866-06.2006 pmid:16870728 fatcat:zym4uzs6s5djzk2ubzreg5yuea

Botulinum neurotoxin accurately separates tonic vs phasic transmission and reveals heterosynaptic plasticity rules in Drosophila [article]

Yifu Han, Chun Chien, Pragya Goel, Kaikai He, Cristian Pinales, Chris Buser, Dion Dickman
2022 bioRxiv   pre-print
Thus, BoNT-C establishes the first approach to cleanly separate neurotransmission between tonic vs phasic neurons and defines heterosynaptic plasticity rules in a powerful model glutamatergic circuit.  ...  A major challenge towards understanding the structural and functional architecture of neural circuits is to separate these inputs and determine their intrinsic and heterosynaptic relationships.  ...  We acknowledge the Developmental Studies Hybridoma Bank (Iowa City, Iowa, USA) for antibodies used in this study and the Bloomington Drosophila Stock Center for fly stocks (NIH P40OD018537).  ... 
doi:10.1101/2022.02.15.480429 fatcat:euu4puxgnvfklfrlbzw7piubve
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