Fetching the paper…
Reading the bibliography…
While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from the problems of context confusion and edge color bleeding.
Colorization using optimization
Anat Levin, Dani Lischinski, and Yair Weiss · 2004
Earlier work this paper cites.
An adaptive edge detection based colorization algorithm and its applications
Yi-Chin Huang, Yi-Shin Tung, Jun-Cheng Chen, Sung-Wen Wang, and Ja-Ling Wu · 2005
Earlier work this paper cites.
Colorization by example
Revital Irony, Daniel Cohen-Or, and Dani Lischinski · 2005
Earlier work this paper cites.
Manga colorization
Yingge Qu, Tien-Tsin Wong, and Pheng-Ann Heng · 2006
Earlier work this paper cites.
Joint bilateral upsampling
Johannes Kopf, Michael F. Cohen, Dani Lischinski, and Matt Uyttendaele · 2007
Earlier work this paper cites.
Natural image colorization
Qing Luan, Fang Wen, Daniel Cohen-Or, Lin Liang, Ying-Qing Xu, and Heung-Yeung Shum · 2007
Earlier work this paper cites.
Automatic image colorization via multimodal predictions
Guillaume Charpiat, Matthias Hofmann, and Bernhard Schölkopf · 2008
Earlier work this paper cites.
Intrinsic colorization
Xiaopei Liu, Liang Wan, Yingge Qu, Tien-Tsin Wong, Stephen Lin, Chi-Sing Leung, and Pheng-Ann Heng · 2008
Earlier work this paper cites.
Automatic colorization of grayscale images using multiple images on the web
Yuji Morimotoand, Yuichi Taguchii, and Takeshi Naemura · 2009
Earlier work this paper cites.
Semantic colorization with internet images
Alex Yong-Sang Chia, Shaojie Zhuo, Raj Kumar Gupta, and Yu-Wing Tai · 2011
Earlier work this paper cites.
The pascal visual object classes challenge 2012 (voc2012) results
Mark Everingham, Luc Van Gool, Christopher K.L. Williams, John Winn, and Andrew Zisserman · 2012
Earlier work this paper cites.
Image colorization using similar images
Raj Kumar Gupta, Alex Yong-Sang Chia, Deepu Rajan, Ee Sin Ng, and Zhiyong Huang · 2012
Cited alongside, same era.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár · 2014
Cited alongside, same era.
Deep colorization
Zezhou Cheng, Qingxiong Yang, and Bin Sheng · 2015
Cited alongside, same era.
Learning deconvolution network for semantic segmentation
Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han · 2015
Cited alongside, same era.
Coco-stuff: Thing and stuff classes in context
Holger Caesar, Jasper Uijlings, and Vittorio Ferrari · 2016
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Evan Shelhamer, Jonathan Long, and Trevor Darrell · 2016
Later among the works it cites.
Colorful image colorization
Richard Zhang, Phillip Isola, and Alexei A. Efros · 2016
Later among the works it cites.
Multiple hypothesis colorization and its application to image compression
Mohammad Haris Baig and Lorenzo Torresani · 2017
Later among the works it cites.
Unsupervised diverse colorization via generative adversarial networks
Yun Cao, Zhiming Zhou, Weinan Zhang, and Yong Yu · 2017
Later among the works it cites.
Outline colorization through tandem adversarial networks
Kevin Frans · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2016
Cited alongside, same era.
R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
Let there be color!: Joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2016
Cited alongside, same era.
Learning representations for automatic colorization
Gustav Larsson, Michael Maire, and Gregory Shakhnarovich · 2016
Cited alongside, same era.
Infrared colorization using deep convolutional neural networks
Matthias Limmer and Hendrik P.A. Lensch · 2016
Cited alongside, same era.
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, and Kevin Murphy · 2017
Later among the works it cites.
Automatic color correction for multisource remote sensing images with wasserstein cnn
Jiayi Guo, Zongxu Pan, Bin Lei, and Chibiao Ding · 2017
Later among the works it cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
Later among the works it cites.
Probabilistic image colorization
Amelie Royer, Alexander Kolesnikov, and Christoph H. Lampert · 2017
Later among the works it cites.
Real-time user-guided image colorization with learned deep priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S.Lin, and Alexei A. Efros · 2017
Later among the works it cites.