Accepted Papers

Title

Authors

Multi-Scale Recursive and Perception-Distortion Controllable Image Super-Resolution

Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu

Bi-GANs-ST for Perceptual Image Super-resolution

Xiaotong Luo, Rong Chen, Yuan Xie, Yanyun Qu, Li Cui-hua

Multi-Modal Spectral Image Super-Resolution

Ruofan Zhou, Fayez Lahoud, Sabine Susstrunk

Generative adversarial network-based image super-resolution using perceptual content losses

Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy

The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution

Muhammad Waleed Gondal, Bernhard Scholkopf, Michael Hirsch

Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks

Thang Vu, Tung Luu, Chang D. Yoo

Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network

Subeesh Vasu, Nimisha T M, Rajagopalan Ambasamudram

Scale-Recurrent Multi-Residual Dense Network for Image Super-Resolution

Kuldeep Purohit, Srimanta Mandal, Rajagopalan Ambasamudram

Deep Networks for Image to Image Translation with Mux and Demux Layers

Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu

CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution

Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool

Multiple Connected Residual Network for Image Enhancement on Smartphones

Jie Liu, Cheolkon Jung

Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones

Zheng Hui, Xiumei Wang, Xinbo Gao, Lirui Deng

Deep Residual Attention Network for Spectral Image Super-Resolution

Zhan Shi, Chang Chen, Zhiwei Xiong, Dong Liu, Zheng-Jun Zha, Feng Wu

Range Scaling Global U-Net for Perceptual Image Enhancement on Mobile Devices

Pengfei Zhu, Jie Huang, Mingrui Geng, Xingguang Zhou, Chen Xing

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

Thang Vu, Cao Nguyen, Trung Pham, Tung Luu, Chang D. Yoo

Fast Perceptual Image Enhancement

Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Luc Van Gool

Challenge Reports

Title

Authors

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Andrey Ignatov, Radu Timofte, Przemyslaw Szczepaniak, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

Andrey Ignatov, Radu Timofte

2018 PIRM Challenge on Perceptual Image Super-resolution

Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, Lihi Zelnik-Manor

PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results

Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte

Posters

Title

Authors

LEDNet: Deep Illumination-aware Dehazing with Low-light Enhancement

Guisik Kim, Junseok Kwon

Photorealistic Video Super Resolution

Eduardo Pérez-Pellitero , Mehdi S. M. Sajjadi , Michael Hirsch and Bernhard Schölkopf

Towards Artifact-free Images through Perceptual Image Restoration

Patricia Vitoria , Coloma Ballester

Gait Energy Image Restoration Using Generative Adversarial Network

Maryam Babaee, Gerhard Rigoll

Pixel-wise Adversarial Learning for Realistic Image Super-resolution

Yuanfei Huang, Ruihan Dou, Furui Bai, Rui Wang, Wen Lu, Xinbo Gao

Perceptually improved super resolution using multi-pass upscaling and qualitative score predictors

Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee

Spatial-Wise Feature Relation Loss for Super-Resolution

Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee