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Recently, deep learning-based single image reflection separation methods have been exploited widely.
The rendering equation
James T Kajiya · 1986
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Separation of transparent layers using focus
Yoav Y Schechner, Nahum Kiryati, and Ronen Basri · 2000
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Learning to perceive transparency from the statistics of natural scenes
Anat Levin, Assaf Zomet, and Yair Weiss · 2003
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Separating reflections from a single image using local features
Anat Levin, Assaf Zomet, and Yair Weiss · 2004
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Removing photography artifacts using gradient projection and flash-exposure sampling
Amit Agrawal, Ramesh Raskar, Shree K Nayar, and Yuanzhen Li · 2005
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Per-pixel displacement mapping with distance functions
William Donnelly · 2005
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User assisted separation of reflections from a single image using a sparsity prior
Anat Levin and Yair Weiss · 2007
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Mitsuba renderer, 2010
Wenzel Jakob · 2010
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Blind separation of superimposed moving images using image statistics
Kun Gai, Zhenwei Shi, and Changshui Zhang · 2012
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Scalable realistic rendering with many-light methods
Carsten Dachsbacher, Jaroslav Křivánek, Miloš Hašan, Adam Arbree, Bruce Walter, and Jan Novák · 2014
Earlier work this paper cites.
A physically-based approach to reflection separation: from physical modeling to constrained optimization
Naejin Kong, Yu-Wing Tai, and Joseph S Shin · 2014
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Single image layer separation using relative smoothness
Yu Li and Michael S Brown · 2014
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Hypercolumns for object segmentation and fine-grained localization
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
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On rendering synthetic images for training an object detector
Artem Rozantsev, Vincent Lepetit, and Pascal Fua · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
Reflection removal using ghosting cues
YiChang Shih, Dilip Krishnan, Fredo Durand, and William T Freeman · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
Hao Su, Charles R. Qi, Yangyan Li, and Leonidas J. Guibas · 2015
Cited alongside, same era.
A computational approach for obstruction-free photography
Tianfan Xue, Michael Rubinstein, Ce Liu, and William T Freeman · 2015
Benchmarking single-image reflection removal algorithms
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, and Alex C Kot · 2017
Later among the works it cites.
Physically-based rendering for indoor scene understanding using convolutional neural networks
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, and Thomas Funkhouser · 2017
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Crrn: multi-scale guided concurrent reflection removal network
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, and Alex C Kot · 2018
Later among the works it cites.
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Cited alongside, same era.
Single-image depth perception in the wild
Weifeng Chen, Zhao Fu, Dawei Yang, and Jia Deng · 2016
Cited alongside, same era.
Depth of field guided reflection removal
Renjie Wan, Boxin Shi, Tan Ah Hwee, and Alex C Kot · 2016
Cited alongside, same era.
Single image reflection suppression
Nikolaos Arvanitopoulos, Radhakrishna Achanta, and Sabine Susstrunk · 2017
Cited alongside, same era.
A generic deep architecture for single image reflection removal and image smoothing
Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, and David Wipf · 2017
Cited alongside, same era.
Reflection removal using low-rank matrix completion
Byeong-Ju Han and Jae-Young Sim · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Jie Yang, Dong Gong, Lingqiao Liu, and Qinfeng Shi · 2018
Later among the works it cites.
Rendering
Sung-eui Yoon · 2018
Later among the works it cites.
Single image reflection separation with perceptual losses
Xuaner Zhang, Ren Ng, and Qifeng Chen · 2018
Later among the works it cites.
Blender - a 3D modelling and rendering package
Blender Online Community · 2019
Closest in time.
Reflection removal using a dual-pixel sensor
Abhijith Punnappurath and Michael S Brown · 2019
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DIODE: A Dense Indoor and Outdoor DEpth Dataset
Igor Vasiljevic, Nick Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, and Gregory Shakhnarovich · 2019
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Single image reflection removal exploiting misaligned training data and network enhancements
Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, and Hua Huang · 2019
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Single image reflection removal beyond linearity
Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, Guoqiang Han, and Shengfeng He · 2019
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