Invited Speakers

William T. Freeman

MIT, Google AI

Eli Shechtman

Adobe Research

Tomer Michaeli

Technion

Jiaya Jia

CUHK

Kavita Bala

Cornell

Schedule

 Friday, 14th September

   Room N1070ZG, TU München

Time

Event

8:30

Opening

8:40

Invited talk - Jiaya Jia (CUHK)
"Two Paths to Image Restoration: Deep Learning and Not Using It"

9:05

Invited talk - Eli Shechtman (Adobe Research)
"Image Manipulation on the Natural Image Manifold"

9:30

Spotlights

10:00

Poster session and coffee break

10:45

Invited talk - Kavita Bala (Cornell)
"Image Editing with Deep Feature Interpolation and Stylization"

11:10

Invited talk - Tomer Michaeli (Technion)
"The Perception-Distortion Tradeoff"

11:35

The PIRM challenges on:
(a) Perceptual Super-resolution,
(b) Perceptual Enhancement on Smartphones,
(c) Spectral Image Super-resolution

12:05

Invited talk - William Freeman (MIT, Google AI)

12:30

Award Ceremony

12:40

Closing

Spotlights and Posters

Title

Authors

Spotlights

Perceptually Improved Super-Resolution using Multi-Pass Upscaling and Qualitative Score Predictors

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

Enhanced SRGAN

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

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

Thang Van Vu, Cao Van Nguyen, Trung X Pham, Tung Minh Luu

Scale Transform Global U-Net for Perceptual Image Enhancement on Mobile Devices

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

Multi-Modal Spectral Image Super-Resolution

Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk

Posters

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

Guisik Kim and 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

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

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

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

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

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 Schölkopf, Michael Hirsch

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

Thang Van Vu, Tung Minh Luu, Chang D. Yoo

Analyzing Perception-Distortion Tradeoff in SISR using EDSR-GAN

Subeesh Vasu, Nimisha T M, Rajagopalan N Ambasamudram

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

Kuldeep Purohit, Srimanta Mandal, Rajagopalan N 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

Scale Transform 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 Van Vu, Cao Van Nguyen, Trung X Pham, Tung Minh Luu

Fast Perceptual Image Enhancement

Etienne de Stoutz