29.September Milano, Italy

AIM 2024

Advances in Image Manipulation workshop

in conjunction with ECCV 2024

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 2022, ICCV 2021, ECCV 2020,ICCV 2019, Mobile AI (MAI) workshop at CVPR 2023, CVPR 2023 , CVPR 2022 , CVPR 2021 , Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018 , Graphics, Vision, Graphics and AI for Streaming (AIS) workshop at CVPR 2024, Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018 , the workshop and Challenge on Learned Image Compression (CLIC) editions at DCC 2024,CVPR 2018-2022, and the New Trends in Image Restoration and Enhancement (NTIRE) editions at CVPR 2017-2024 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, MAI, AIM, AIS 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
  • Saliency and gaze 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 2024 challenges

One needs to check the corresponding Codalab 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 23:59 CET)
Site online May 1, 2024
Release of train data and validation data May 10, 2024
Validation server online May 15, 2024
Final test data release, validation server closed July 24, 2024 (EXTENDED)
Test phase submission deadline July 29, 2024
Fact sheets, code/executable submission deadline July 29, 2024
Preliminary test results release to the participants July 31, 2024
Paper submission deadline for entries from the challenges August 11, 2024
Workshop Event Date (always 23:59 CET)
Paper submission deadline July 24, 2024(EXTENDED)
Paper submission deadline (only for methods from AIM 2024 challenges and papers reviewed elsewhere!) August 11, 2024
Paper decision notification August 14, 2024
Camera ready deadline August 21, 2024
Workshop day September 29, 2024

Submit



Instructions and Policies
Format and paper length

A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in single-column, ECCV style. The paper format must follow the same guidelines as for all ECCV 2024 submissions.
AIM 2024 and ECCV 2024 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 not allowed. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop.

Submission site

https://cmt3.research.microsoft.com/AIMWC2024/

Proceedings

Accepted and presented papers will be published after the conference in ECCV Workshops proceedings together with the ECCV2024 main conference papers.

Author Kit

The author kit provides a LaTeX2e template for paper submissions.
Please refer to https://eccv.ecva.net/Conferences/2024/SubmissionPolicies for detailed formatting instructions.

People



Organizers (TBU)

  • Radu Timofte, University of Wurzburg,
  • Andrey Ignatov, AI Benchmark and ETH Zurich,
  • Marcos V. Conde, University of Wurzburg,
  • Dmitriy Vatolin, Moscow State University,
  • Eduardo Pérez-Pellitero, Noah's Ark Lab London,


PC Members (TBU)

  • Codruta Ancuti, UPT
  • Boaz Arad, Ben-Gurion University of the Negev
  • Siavash Arjomand Bigdeli, DTU
  • Michael S. Brown, York University
  • Jianrui Cai, The Hong Kong Polytechnic University
  • Chia-Ming Cheng, MediaTek
  • Cheng-Ming Chiang, MediaTek
  • Sunghyun Cho, Samsung
  • Marcos V. Conde, University of Wurzburg
  • Chao Dong, SIAT
  • Weisheng Dong, Xidian University
  • Touradj Ebrahimi, EPFL
  • Paolo Favaro, University of Bern
  • Graham Finlayson, University of East Anglia
  • Corneliu Florea, University Politechnica of Bucharest
  • Bastian Goldluecke, University of Konstanz
  • Shuhang Gu, OPPO & University of Sydney
  • Christine Guillemot, INRIA
  • Felix Heide, Princeton University & Algolux
  • Chiu Man Ho, OPPO,
  • Hiroto Honda, Mobility Technologies Co Ltd.
  • Andrey Ignatov, ETH Zurich
  • Aggelos Katsaggelos, Northwestern University
  • Jan Kautz, NVIDIA
  • Furkan Kınlı, Özyeğin University
  • Christian Ledig, University of Bamberg
  • Seungyong Lee, POSTECH
  • Kyoung Mu Lee, Seoul National University
  • Juncheng Li, The Chinese University of Hong Kong
  • Yawei Li, ETH Zurich
  • Stephen Lin, Microsoft Research
  • Guo Lu, Beijing Institute of Technology
  • Kede Ma, City University of Hong Kong
  • Vasile Manta, Technical University of Iasi
  • Rafal Mantiuk, University of Cambridge
  • Zibo Meng, OPPO
  • Yusuke Monno, Tokyo Institute of Technology
  • Hajime Nagahara, Osaka University
  • Vinay P. Namboodiri, University of Bath/li>
  • Federico Perazzi, Bending Spoons
  • Fatih Porikli, Qualcomm CR&D
  • Antonio Robles-Kelly, Deakin University
  • Aline Roumy, INRIA
  • Christopher Schroers, Disney Research | Studios
  • Nicu Sebe, University of Trento
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research
  • Gregory Slabaugh, Queen Mary University of London
  • Sabine Süsstrunk, EPFL
  • Yu-Wing Tai, Kuaishou Technology & HKUST
  • Robby T. Tan, Yale-NUS College
  • Masayuki Tanaka, Tokyo Institute of Technology
  • Hao Tang, ETH Zurich
  • Qi Tian, Huawei Cloud & AI
  • Radu Timofte, University of Wurzburg & ETH Zurich
  • George Toderici, Google
  • Luc Van Gool, ETH Zurich & KU Leuven
  • Longguang Wang, National University of Defense Technology
  • Yingqian Wang, National University of Defense Technology
  • Gordon Wetzstein, Stanford University
  • Ming-Hsuan Yang, University of California at Merced & Google
  • Ren Yang, ETH Zurich
  • Wenjun Zeng, Microsoft Research
  • Kai Zhang, ETH Zurich
  • Yulun Zhang, ETH Zurich
  • Jun-Yan Zhu, Carnegie Mellon University
  • Wangmeng Zuo, Harbin Institute of Technology

Invited Talks (TBU)




All the accepted AIM workshop papers have oral presentation.
All the accepted AIM workshop papers are published under the book title "European Conference on Computer Vision Workshops (ECCVW)" by

Springer