AIM: Advances in Image Manipulation workshop and challenges 2025
In conjunction with ICCV 2025

Website: https://www.cvlai.net/aim/2025/
Contact: radu.timofte [at] uni-wuerzburg.de

SCOPE


Image manipulation is a key computer vision task, 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 2019-2021 and ECCV 2020-2024 the Mobile AI (MAI) workshop at CVPR 2021-2025, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the Vision, Graphics and AI for Streaming (AIS) at CVPR 2024, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018-2022 and at DCC 2024 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017-2025 and at ACCV 2016. Moreover, it relies on the people associated with the AIM, PIRM, MAI, 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 single-column, ICCV style. The paper format must follow the same guidelines as for all ICCV 2025 submissions.

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 not allowed. 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/AIMWC2025/ (TBU)



WORKSHOP DATES

● Submission Deadline: July 10, 2025
● Decisions: July 31, 2025
● Camera Ready Deadline: August 10, 2025


AIM 2025 has the following associated challenges (TBU):

● Image Super-Resolution
● Efficient LLMs
● Efficient Stable Diffusion
● Efficient Video Super-Resolution
● Efficient ViTs for Mobile
● Image Denoising
● Bokeh Effect Rendering
● RGB Photo Enhancement
● Learned Smartphone ISP
● Rip Current Segmentation
● HDR Reconstruction
● Screen-Content Quality Assessment
● Low-Light RAW Video Denoising
● Robust Offline Video Super-Resolution


PARTICIPATION

To learn more:
https://www.cvlai.net/aim/2025/



SPEAKERS (to be announced)


SPONSORS (to be announced)

University of Wurzburg / CAIDAS


CONTACT

Email: radu.timofte [at] uni-wuerzburg.de
Website: https://www.cvlai.net/aim/2025/