Fetching the paper…
Reading the bibliography…
We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light and dehazing all together.
Single image dehazing
R. Fattal · 2008
Earlier work this paper cites.
Single image dehazing
R. Fattal · 2008
Earlier work this paper cites.
Deep photo: Model-based photograph enhancement and viewing
J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski · 2008
Earlier work this paper cites.
Visibility in bad weather from a single image
R. T. Tan · 2008
Earlier work this paper cites.
Factorizing scene albedo and depth from a single foggy image
L. Kratz and K. Nishino · 2009
Earlier work this paper cites.
Single image haze removal using dark channel prior
K. He, J. Sun, and X. Tang · 2011
Earlier work this paper cites.
Indoor segmentation and support inference from rgbd images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
Earlier work this paper cites.
Single image dehazing by multi-scale fusion
C. O. Ancuti and C. Ancuti · 2013
Earlier work this paper cites.
Efficient image dehazing with boundary constraint and contextual regularization
G. Meng, Y. Wang, J. Duan, S. Xiang, and C. Pan · 2013
Earlier work this paper cites.
Dehazing using color-lines
R. Fattal · 2014
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Visibility restoration of single hazy images captured in real-world weather conditions
S.-C. Huang, B.-H. Chen, and W.-J. Wang · 2014
Earlier work this paper cites.
High-resolution stereo datasets with subpixel-accurate ground truth
D. Scharstein, H. Hirschmüller, Y. Kitajima, G. Krathwohl, N. Nešić, X. Wang, and P. Westling · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Automatic recovery of the atmospheric light in hazy images
M. Sulami, I. Glatzer, R. Fattal, and M. Werman · 2014
Earlier work this paper cites.
Investigating haze-relevant features in a learning framework for image dehazing
K. Tang, J. Yang, and J. Wang · 2014
Earlier work this paper cites.
Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
Earlier work this paper cites.
Stage-wise training: An improved feature learning strategy for deep models
E. Barshan and P. Fieguth · 2015
Earlier work this paper cites.
Multimodal deep learning for robust rgb-d object recognition
A. Eitel, J. T. Springenberg, L. Spinello, M. Riedmiller, and W. Burgard · 2015
Earlier work this paper cites.
Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
Simultaneous video defogging and stereo reconstruction
Z. Li, P. Tan, R. T. Tan, D. Zou, S. Zhiying Zhou, and L.-F. Cheong · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Sun rgb-d: A rgb-d scene understanding benchmark suite
S. Song, S. P. Lichtenberg, and J. Xiao · 2015
Cited alongside, same era.
A fast single image haze removal algorithm using color attenuation prior
Q. Zhu, J. Mai, and L. Shao · 2015
Cited alongside, same era.
Non-local image dehazing
D. Berman, S. Avidan, et al · 2016
Cited alongside, same era.
A two-streamed network for estimating fine-scaled depth maps from single rgb images
J. Li, R. Klein, and A. Yao · 2017
Later among the works it cites.
Generating high-quality crowd density maps using contextual pyramid cnns
V. A. Sindagi and V. M. Patel · 2017
Later among the works it cites.
Demon: Depth and motion network for learning monocular stereo
B. Ummenhofer, H. Zhou, J. Uhrig, N. Mayer, E. Ilg, A. Dosovitskiy, and T. Brox · 2017
Later among the works it cites.
High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2017
Later among the works it cites.
Image de-raining using a conditional generative adversarial network
H. Zhang, V. Sindagi, and V. M. Patel · 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…
Dehazenet: An end-to-end system for single image haze removal
B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao · 2016
Cited alongside, same era.
Nips 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2016
Cited alongside, same era.
Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
Cited alongside, same era.
Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
Cited alongside, same era.
H. Zhang, V. Sindagi, and V. M. Patel · 2017
Later among the works it cites.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. Metaxas · 2017
Later among the works it cites.
Hazerd: an outdoor scene dataset and benchmark for single image dehazing
Y. Zhang, L. Ding, and G. Sharma · 2017
Later among the works it cites.
Densenet for dense flow
Y. Zhu and S. Newsam · 2017
Later among the works it cites.
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
X. Di and V. M. Patel · 2018
Closest in time.
Jointly optimize data and network training: Adversarial data augmentation in human pose estimation
X. Peng, Z. Tang, Y. Fei, R. S. Feris, and D. Metaxas · 2018
Closest in time.
Gated fusion network for single image dehazing
W. Ren, L. Ma, J. Zhang, J. Pan, X. Cao, W. Liu, and M.-H. Yang · 2018
Closest in time.
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
J. Wang, X. Li, and J. Yang · 2018
Closest in time.
High-quality facial photo-sketch synthesis using multi-adversarial networks
L. Wang, V. A. Sindagi, and V. M. Patel · 2018
Closest in time.
Context encoding for semantic segmentation
H. Zhang, K. Dana, J. Shi, Z. Zhang, X. Wang, A. Tyagi, and A. Agrawal · 2018
Closest in time.
Density-aware single image de-raining using a multi-stream dense network
H. Zhang and V. M. Patel · 2018
Closest in time.
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
Z. Zhang, Y. Xie, and L. Yang · 2018
Closest in time.
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network
Z. Zhang, Y. Xie, and L. Yang · 2018
Closest in time.
A generative adversarial approach for zero-shot learning from noisy texts
Y. Zhu, M. Elhoseiny, B. Liu, X. Peng, and A. Elgammal · 2018
Closest in time.