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<div><div><span>Apologies for cross-posting<br></span><div><span>*******************************</span></div><div><span><br></span></div><div><span></span></div><div><div><span><span>CALL</span></span> FOR <span><span>PAPERS</span></span> & <span><span>CALL</span></span> FOR PARTICIPANTS<br></div></div>
</div><div><br></div><div><span>AIM</span>: 6th <span>Advances</span> in <span>Image</span> <span>Manipulation</span>
<span>workshop</span> and <span>challenges</span> on <br></div><div>
deblurring, denoising, super-resolution, efficient LLMs, stable diffusion, enhancement, rip current segmentation, learned ISP, quality assessment, HDR,</div><div>In conjunction with <span>ICCV</span> <span>2025</span>, Honolulu, Hawaii, US</div>
<br>Website: <a href="https://www.cvlai.net/aim/2025/">https://www.cvlai.net/aim/2025/</a><br>Contact: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a>
<br>
<br>
<br>TOPICS<br>
<br>Papers addressing topics related to <span>image</span>/video <span>manipulation</span>,
restoration and enhancement are invited. The topics include, but are not
limited to:
<br>
<br><div style="margin-left:40px">● <span>Image</span>-to-<span>image</span> translation
<br>● Video-to-video translation
<br>● <span>Image</span>/video <span>manipulation</span>
<br>● Perceptual <span>manipulation</span>
<br>● <span>Image</span>/video generation and hallucination
<br>● <span>Image</span>/video quality assessment
<br>● <span>Image</span>/video semantic segmentation <br></div><div style="margin-left:40px">
● Saliency and gaze estimation <br></div><div style="margin-left:40px">● Perceptual enhancement
<br>● Multimodal translation
<br>● Depth estimation
<br>● <span>Image</span>/video inpainting
<br>● <span>Image</span>/video deblurring
<br>● <span>Image</span>/video denoising
<br>● <span>Image</span>/video upsampling and super-resolution
<br>● <span>Image</span>/video filtering
<br>● <span>Image</span>/video de-hazing, de-raining, de-snowing, etc.
<br>● Demosaicing
<br>● <span>Image</span>/video compression
<br>● Removal of artifacts, shadows, glare and reflections, etc.
<br>● <span>Image</span>/video enhancement: brightening, color adjustment, sharpening, etc.
<br>● Style transfer
<br>● Hyperspectral imaging
<br>● Underwater imaging
<br>● Aerial and satellite imaging
<br>● Methods robust to changing weather conditions / adverse outdoor conditions
<br>● <span>Image</span>/video <span>manipulation</span> on mobile devices
<br>● <span>Image</span>/video restoration and enhancement on mobile devices
<br>● Studies and applications of the above.
<br></div>
<br>
<br>SUBMISSION<br>
<br>
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in double-column, ICCV style. The paper
format must follow the same guidelines as for all ICCV 2025 submissions.
<br>
The review process is double blind. <br>
Dual submission is not allowed.<br>Submission site: <a href="https://cmt3.research.microsoft.com/AIMWC2025/">https://cmt3.research.microsoft.com/AIMWC2025/</a></div><div><br></div><div><br></div><span>WORKSHOP</span> DATES
<br>
<br><div style="margin-left:40px">● Submission Deadline: June 30, <span>2025</span>
<br>● Decisions: July 11, <span>2025</span><br>● Camera Ready Deadline: August 10, <span>2025</span>
<br></div><div><br>
</div><div><br></div>
AIM 2025 has the following associated challenges:
<br>
● High FPS Motion Deblurring
<br> ● Inverse Tone Mapping
<br> ● Robust Offline Video Super-Resolution
<br> ● Image Super-Resolution
<br> ● Efficient LLMs
<br> ● Efficient Stable Diffusion
<br> ● Efficient Video Super-Resolution
<br> ● Efficient ViTs for Mobile
<br> ● Image Denoising
<br> ● Bokeh Effect Rendering
<br> ● RGB Photo Enhancement
<br> ● Learned Smartphone ISP
<br> ● Rip Current Segmentation
<br> ● HDR Reconstruction
<br> ● Screen-Content Quality Assessment
<br> ● Low-Light RAW Video Denoising
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<br><div>PARTICIPATION
<br>
<br>To learn more about the <span>challenges</span> and to participate: <br></div><div> <a href="https://www.cvlai.net/aim/2025/">https://www.cvlai.net/aim/2025/</a><br></div><div><div><br></div><div>
<span>CHALLENGES</span> DATES<br>
<br><div style="margin-left:40px">● Release of train data: May 30, <span>2025</span>
<br>● Competitions end: July 5, <span>2025</span>
<br></div>
<br>
</div><div>CONTACT<br>
<br>Email: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a>
<br>Website: <a href="https://www.cvlai.net/aim/2025/">https://www.cvlai.net/aim/2025/</a></div></div></div>
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