New Trends in Image Restoration and Enhancement
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ignatov_2018_CVPR_Workshops,
author = {Ignatov, Andrey and Kobyshev, Nikolay and Timofte, Radu and Vanhoey, Kenneth and Van Gool, Luc},
title = {WESPE: Weakly Supervised Photo Enhancer for Digital Cameras},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yuan_2018_CVPR_Workshops,
author = {Yuan, Yuan and Liu, Siyuan and Zhang, Jiawei and Zhang, Yongbing and Dong, Chao and Lin, Liang},
title = {Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2018_CVPR_Workshops,
author = {Chen, Honggang and He, Xiaohai and Qing, Linbo and Xiong, Shuhua and Nguyen, Truong Q.},
title = {DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Attribute Augmented Convolutional Neural Network for Face Hallucination-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2018_CVPR_Workshops,
author = {Lee, Cheng-Han and Zhang, Kaipeng and Lee, Hu-Cheng and Cheng, Chia-Wen and Hsu, Winston},
title = {Attribute Augmented Convolutional Neural Network for Face Hallucination},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Recursive Deep Residual Learning for Single Image Dehazing-
[pdf]
[bibtex]@InProceedings{Du_2018_CVPR_Workshops,
author = {Du, Yixin and Li, Xin},
title = {Recursive Deep Residual Learning for Single Image Dehazing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Synthesized Texture Quality Assessment via Multi-Scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients-
[pdf]
[arXiv]
[bibtex]@InProceedings{Golestaneh_2018_CVPR_Workshops,
author = {Golestaneh, Alireza and Karam, Lina J.},
title = {Synthesized Texture Quality Assessment via Multi-Scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Learning Face Deblurring Fast and Wide-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2018_CVPR_Workshops,
author = {Jin, Meiguang and Hirsch, Michael and Favaro, Paolo},
title = {Learning Face Deblurring Fast and Wide},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
O-HAZE: A Dehazing Benchmark With Real Hazy and Haze-Free Outdoor Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ancuti_2018_CVPR_Workshops,
author = {Ancuti, Codruta O. and Ancuti, Cosmin and Timofte, Radu and De Vleeschouwer, Christophe},
title = {O-HAZE: A Dehazing Benchmark With Real Hazy and Haze-Free Outdoor Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Large Receptive Field Networks for High-Scale Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Seif_2018_CVPR_Workshops,
author = {Seif, George and Androutsos, Dimitrios},
title = {Large Receptive Field Networks for High-Scale Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Multi-Level Wavelet-CNN for Image Restoration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2018_CVPR_Workshops,
author = {Liu, Pengju and Zhang, Hongzhi and Zhang, Kai and Lin, Liang and Zuo, Wangmeng},
title = {Multi-Level Wavelet-CNN for Image Restoration},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
ComboGAN: Unrestrained Scalability for Image Domain Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Anoosheh_2018_CVPR_Workshops,
author = {Anoosheh, Asha and Agustsson, Eirikur and Timofte, Radu and Van Gool, Luc},
title = {ComboGAN: Unrestrained Scalability for Image Domain Translation},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Image Super-Resolution via Progressive Cascading Residual Network-
[pdf]
[bibtex]@InProceedings{Ahn_2018_CVPR_Workshops,
author = {Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
title = {Image Super-Resolution via Progressive Cascading Residual Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Deep Residual Network With Enhanced Upscaling Module for Super-Resolution-
[pdf]
[bibtex]@InProceedings{Kim_2018_CVPR_Workshops,
author = {Kim, Jun-Hyuk and Lee, Jong-Seok},
title = {Deep Residual Network With Enhanced Upscaling Module for Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Persistent Memory Residual Network for Single Image Super Resolution-
[pdf]
[bibtex]@InProceedings{Chen_2018_CVPR_Workshops,
author = {Chen, Rong and Qu, Yanyun and Zeng, Kun and Guo, Jinkang and Li, Cuihua and Xie, Yuan},
title = {Persistent Memory Residual Network for Single Image Super Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing-
[pdf]
[bibtex]@InProceedings{Ki_2018_CVPR_Workshops,
author = {Ki, Sehwan and Sim, Hyeonjun and Choi, Jae-Seok and Kim, Saehun and Kim, Munchurl},
title = {Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Engin_2018_CVPR_Workshops,
author = {Engin, Deniz and Genc, Anil and Kemal Ekenel, Hazim},
title = {Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
IRGUN: Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution-
[pdf]
[bibtex]@InProceedings{Sharma_2018_CVPR_Workshops,
author = {Sharma, Manoj and Mukhopadhyay, Rudrabha and Upadhyay, Avinash and Koundinya, Sriharsha and Shukla, Ankit and Chaudhury, Santanu},
title = {IRGUN: Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
2D-3D CNN Based Architectures for Spectral Reconstruction From RGB Images-
[pdf]
[bibtex]@InProceedings{Koundinya_2018_CVPR_Workshops,
author = {Koundinya, Sriharsha and Sharma, Himanshu and Sharma, Manoj and Upadhyay, Avinash and Manekar, Raunak and Mukhopadhyay, Rudrabha and Karmakar, Abhijit and Chaudhury, Santanu},
title = {2D-3D CNN Based Architectures for Spectral Reconstruction From RGB Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results-
[pdf]
[bibtex]@InProceedings{Timofte_2018_CVPR_Workshops,
author = {Timofte, Radu and Gu, Shuhang and Wu, Jiqing and Van Gool, Luc},
title = {NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
A Fully Progressive Approach to Single-Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2018_CVPR_Workshops,
author = {Wang, Yifan and Perazzi, Federico and McWilliams, Brian and Sorkine-Hornung, Alexander and Sorkine-Hornung, Olga and Schroers, Christopher},
title = {A Fully Progressive Approach to Single-Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
New Techniques for Preserving Global Structure and Denoising With Low Information Loss in Single-Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bei_2018_CVPR_Workshops,
author = {Bei, Yijie and Damian, Alexandru and Hu, Shijia and Menon, Sachit and Ravi, Nikhil and Rudin, Cynthia},
title = {New Techniques for Preserving Global Structure and Denoising With Low Information Loss in Single-Image Super-Resolution},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Efficient Module Based Single Image Super Resolution for Multiple Problems-
[pdf]
[bibtex]@InProceedings{Park_2018_CVPR_Workshops,
author = {Park, Dongwon and Kim, Kwanyoung and Young Chun, Se},
title = {Efficient Module Based Single Image Super Resolution for Multiple Problems},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
NTIRE 2018 Challenge on Image Dehazing: Methods and Results-
[pdf]
[bibtex]@InProceedings{Ancuti_2018_CVPR_Workshops,
author = {Ancuti, Cosmin and Ancuti, Codruta O. and Timofte, Radu},
title = {NTIRE 2018 Challenge on Image Dehazing: Methods and Results},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Multi-Scale Single Image Dehazing Using Perceptual Pyramid Deep Network-
[pdf]
[bibtex]@InProceedings{Zhang_2018_CVPR_Workshops,
author = {Zhang, He and Sindagi, Vishwanath and Patel, Vishal M.},
title = {Multi-Scale Single Image Dehazing Using Perceptual Pyramid Deep Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes-
[pdf]
[bibtex]@InProceedings{Sim_2018_CVPR_Workshops,
author = {Sim, Hyeonjun and Ki, Sehwan and Choi, Jae-Seok and Seo, Soomin and Kim, Saehun and Kim, Munchurl},
title = {High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Image Dehazing by Joint Estimation of Transmittance and Airlight Using Bi-Directional Consistency Loss Minimized FCN-
[pdf]
[bibtex]@InProceedings{Mondal_2018_CVPR_Workshops,
author = {Mondal, Ranjan and Santra, Sanchayan and Chanda, Bhabatosh},
title = {Image Dehazing by Joint Estimation of Transmittance and Airlight Using Bi-Directional Consistency Loss Minimized FCN},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
NTIRE 2018 Challenge on Spectral Reconstruction From RGB Images-
[pdf]
[bibtex]@InProceedings{Arad_2018_CVPR_Workshops,
author = {Arad, Boaz and Ben-Shahar, Ohad and Timofte, Radu},
title = {NTIRE 2018 Challenge on Spectral Reconstruction From RGB Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
HSCNN+: Advanced CNN-Based Hyperspectral Recovery From RGB Images-
[pdf]
[bibtex]@InProceedings{Shi_2018_CVPR_Workshops,
author = {Shi, Zhan and Chen, Chang and Xiong, Zhiwei and Liu, Dong and Wu, Feng},
title = {HSCNN+: Advanced CNN-Based Hyperspectral Recovery From RGB Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
Reconstructing Spectral Images From RGB-Images Using a Convolutional Neural Network-
[pdf]
[bibtex]@InProceedings{Stiebel_2018_CVPR_Workshops,
author = {Stiebel, Tarek and Koppers, Simon and Seltsam, Philipp and Merhof, Dorit},
title = {Reconstructing Spectral Images From RGB-Images Using a Convolutional Neural Network},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}