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AIM: Advances in Image Manipulation workshop and challenges 2019
In conjunction with ICCV 2019
Website: http://www.vision.ee.ethz.ch/aim19/
Contact: radu.timofte [at] 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 Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018 , the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018 and CVPR 2019 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017 , 2018 and 2019 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:
● Image-to-image translation
● Video-to-video translation
● Image/video manipulation
● Perceptual manipulation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation
● Perceptual enhancement
● Multimodal translation
● Depth estimation
● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral imaging
● Underwater imaging
● Aerial and satellite imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video manipulation on mobile devices
● Image/video restoration and enhancement on mobile devices
● Studies and applications of the above.
Submission
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in ICCV style. The paper format must follow the same guidelines as for all ICCV submissions.
http://iccv2019.thecvf.com/submission/main_conference/author_guidelines
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 ICCV main conference only. If a paper is submitted also to ICCV and accepted, the paper cannot be published both at the ICCV and the workshop.
For the paper submissions, please go to the online submission site
https://cmt3.research.microsoft.com/AIMW2019
Accepted and presented papers will be published after the conference in the CVPR Workshops Proceedings on by IEEE (http://www.ieee.org) and Computer Vision Foundation (www.cv-foundation.org).
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 ICCV author instruction page.
Author Kit: http://iccv2019.thecvf.com/files/iccv2019AuthorKit.zip
Workshop Dates
● Submission Deadline: August 11, 2019
● Decisions: August 23, 2019
● Camera Ready Deadline: August 30, 2019
AIM 2019 has the following associated groups of challenges (ONGOING!):
● image manipulation, restoration and enhancement challenges:
● Bokeh effect simulation
● RAW to RGB mapping
● real world super-resolution (unsupervised)
● demoiring
● constrained super-resolution
● extreme super-resolution
● video manipulation, restoration and enhancement challenges:
● video temporal super-resolution (frame interpolation)
● video quality mapping
● video extreme super-resolution
PARTICIPATION
To learn more about the challenges and to participate:
http://www.vision.ee.ethz.ch/aim19/
Challenges Dates
● Release of train data: July 15, 2019
● Validation server online: July 21, 2019
● Competitions end: September 9, 2019
Organizers
● Radu Timofte, ETH Zurich, Switzerland
● Shuhang Gu, ETH Zurich, Switzerland
● Ming-Hsuan Yang, University of California at Merced, US
● Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland
● Kyoung Mu Lee, Seoul National University, Korea
● Eli Shechtman, Adobe Research
● Ming-Yu Liu, Nvidia
● Zhiwu Huang, ETH Zurich, Switzerland
● Seungjun Nah, Seoul National University, Korea
● Richard Zhang, Adobe Research
● Andrey Ignatov, ETH Zurich, Switzerland
● Martin Danelljan, ETH Zurich, Switzerland
Speakers (to be announced)
Sponsors (to be announced)
ETH Zurich / CVL
Contact
Email: radu.timofte [at] vision.ee.ethz.ch
Website: http://www.vision.ee.ethz.ch/aim19/
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