11.October Montreal, Canada

AIM 2021

Advances in Image Manipulation workshop

and challenges on image and video manipulation

in conjunction with ICCV 2021

Sponsors (TBA)






Call for papers

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 Advances in Image Manipulation (AIM) workshop at ECCV 2020,ICCV 2019, Mobile AI (MAI) workshop at CVPR 2021 , Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018 , the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, CVPR 2019, CVPR 2020, CVPR 2021 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017 , 2018, 2019 , 2020 , and 2021 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, MAI, AIM, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams.

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.

AIM 2021 image challenges



AIM 2021 video challenges

  • tba!
  • tba!

One needs to check the corresponding pages of the competition(s) in order to learn more about and to register to access the data and participate in the challenge(s) of interest.

Important dates



Challenges Event Date (always 5PM Pacific Time)
Site online May 15, 2021
Release of train data and validation data June 01, 2021
Validation server online June 05, 2021
Final test data release August 01, 2021
Test restoration results submission deadline August 05, 2021
Fact sheets submission deadline August 06, 2021
Code/executable submission deadline August 06, 2021
Preliminary test results release to the participants August 09, 2021
Paper submission deadline for entries from the challenges August 15, 2021
Workshop Event Date (always 5PM Pacific Time)
Paper submission server online June 01, 2021
Paper submission deadline August 05, 2020
Paper submission deadline (only for methods from AIM 2021 challenges or ICCV/other 2021 rejected papers!) August 15, 2020
Paper decision notification August 20, 2021
Camera ready deadline August 30, 2021
Workshop day October 11, 2021 (TBA)

Submit



Instructions and Policies
Format and paper length

A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in double column. The paper format must follow the same guidelines as for all ICCV 2021 submissions.
AIM 2021 and ICCV 2021 author guidelines

Double-blind review policy

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 policy

Dual submission is allowed with ICCV2021 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.

Submission site

https://cmt3.research.microsoft.com/AIMICCV2021

Proceedings

Accepted and presented papers will be published after the conference in ICCV Workshops proceedings together with the ICCV2021 main conference papers.

Author Kit

http://iccv2021.thecvf.com/sites/default/files/2020-09/iccv2021AuthorKit.zip
The author kit provides a LaTeX2e template for paper submissions. Please refer to the example egpaper_for_review.pdf for detailed formatting instructions.

People



Organizers

  • Radu Timofte, ETH Zurich,
  • Andrey Ignatov, ETH Zurich,
  • Luc Van Gool, KU Leuven & ETH Zurich,
  • Ming-Hsuan Yang, University of California at Merced & Google,
  • Kyoung Mu Lee, Seoul National University,
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research,
  • Kai Zhang, ETH Zurich,
  • Dario Fuoli, ETH Zurich,
  • Ming-Yu Liu, NVIDIA Research,
  • Andres Romero, ETH Zurich,
  • Martin Danelljan, ETH Zurich,
  • Egor Ershov, IITP RAS,
  • Marko Subasic, University of Zagreb,
  • Michael S. Brown, York University,


PC Members

  • Cosmin Ancuti, UPT
  • Siavash Bigdeli, CSEM
  • Michael S. Brown, York University
  • Jianrui Cai, Hong Kong Polytechnic University
  • Chia-Ming Cheng, MediaTek
  • Cheng-Ming Chiang, MediaTek
  • Sunghyun Cho, POSTECH
  • Martin Danelljan, ETH Zurich
  • Chao Dong, SIAT
  • Weisheng Dong, Xidian University
  • Touradj Ebrahimi, EPFL
  • Majed El Helou, EPFL
  • Corneliu Florea, University Politechnica of Bucharest
  • Dario Fuoli, ETH Zurich
  • Peter Gehler, Amazon
  • Bastian Goldluecke, University of Konstanz
  • Shuhang Gu, ETH Zurich & University of Sydney
  • Zhe Hu, Hikvision Research
  • Zhiwu Huang, ETH Zurich
  • Andrey Ignatov, ETH Zurich
  • Phillip Isola, MIT
  • In So Kweon, KAIST
  • Christian Ledig, VideaHealth
  • Jaerin Lee, Seoul National University
  • Kyoung Mu Lee, Seoul National University
  • Seungyong Lee, POSTECH
  • Victor Lempitsky, Skoltech & Samsung
  • Liang Lin, Sun Yat-Sen University & DarkMatter AI
  • Ming-Yu Liu, NVIDIA Research
  • Hannan Lu, Harbin Institute of Technology
  • Vladimir Lukin, National Aerospace University
  • Roey Mechrez, BeyondMinds & Technion
  • Zibo Meng, OPPO
  • Yusuke Monno, Tokyo Institute of Technology
  • Seungjun Nah, Seoul National University
  • Hajime Nagahara, Osaka University
  • Vinay P. Namboodiri, IIT Kanpur
  • Evangelos Ntavelis, CSEM & ETH Zurich
  • Federico Perazzi, Adobe
  • Wenqi Ren, Chinese Academy of Sciences
  • Andres Romero, ETH Zurich
  • Aline Roumy, INRIA
  • Yoichi Sato, University of Tokyo
  • Nicu Sebe, University of Trento
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research
  • Gregory Slabaugh, Huawei Noah's Ark Lab
  • Sanghyun Son, Seoul National University
  • Sabine Süsstrunk, EPFL
  • Yu-Wing Tai, HKUST
  • Hugues Talbot, Université Paris Est
  • Masayuki Tanaka, Tokyo Institute of Technology
  • Jean-Philippe Tarel, IFSTTAR
  • Radu Timofte, ETH Zurich
  • George Toderici, Google
  • Luc Van Gool, ETH Zurich & KU Leuven
  • Ting-Chun Wang, NVIDIA
  • Xintao Wang, The Chinese University of Hong Kong
  • Pengxu Wei, Sun Yat-Sen University
  • Feng Yang, Google
  • Ming-Hsuan Yang, University of California at Merced & Google
  • Ren Yang, ETH Zurich
  • Wenjun Zeng, Microsoft Research
  • Kai Zhang, ETH Zurich
  • Richard Zhang, UC Berkeley & Adobe Research
  • Ruofan Zhou, EPFL
  • Jun-Yan Zhu, Adobe Research & CMU
  • Wangmeng Zuo, Harbin Institute of Technology

Invited Talks (TBA)



Schedule (TBA)