In conjunction with ECCV 2020, Glasgow, UK

Website: https://data.vision.ee.ethz.ch/cvl/aim20/
Contact: radu.timofte@vision.ee.ethz.ch

SCOPE

Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved.

Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods.

This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations.

This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams.

TOPICS

Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to:

SUBMISSION

A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions.
https://eccv2020.eu/author-instructions/
The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors.
Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop.

For the paper submissions, please go to the online submission site
https://cmt3.research.microsoft.com/AIMWC2020

Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings.

The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page.

Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip

WORKSHOP DATES

1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU)
2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual)
3. Real super-resolution (tracks: x2, x3, x4)
4. Relighting (tracks: any to one, any to any relighting, illumination estimation)
5. Efficient super-resolution
6. Extreme inpainting (tracks: classic, semantic guidance)

VIDEO CHALLENGES (ongoing!):

• Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland)
• Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland)
• Wangmeng Zuo,
  Hannan Lu (Harbin Institute of Technology, China)

• Shuhang Gu (University of Sydney, Australia)
• Ming-Hsuan Yang (University of California at Merced and Google, US
• Majed El Helou,
  Ruofan Zhou (EPFL, Switzerland)
• Kyoung Mu Lee, Seungjun Nah, Sanghyun Son,
  Jaerin Lee (Seoul National University, Korea)
• Eli Shechtman (Adobe Research, US)
• Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland)
  
• Liang Lin,
  Weipeng Xu (Sun Yat-Sen University, China)

• Ming-Yu Liu (Nvidia, US)
• Roey Mechrez (BeyondMinds and Technion, Israel)