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<span>Apologies for multiple postings<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 IN 20 CHALLENGES</div><div><br></div><div>
<span><span><span>NTIRE</span></span></span>: 11<span>th <span>New Trends in Image Restoration and Enhancement workshop and challenges.</span></span><br><span>In</span> conjunction with <span>CVPR</span> <span><span><span><span>2026</span></span></span></span>, June 3-7, Denver, US.</div><div><br></div><div>
<div><div><div>Website: <a href="https://cvlai.net/ntire/2026/" target="_blank">https://cvlai.net/ntire/2026/</a></div><div>Contact: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a></div><div><br></div><div>TOPICS</div><div><br></div><div style="margin-left:40px">
● Image/video inpainting
<br>● Image/video deblurring
<br>● Image/video denoising
<br>● Image/video upsampling and super-resolution
<br>● Image/video filtering
<br>● Image/video de-hazing, de-raining, de-snowing, etc.
<br>● Demosaicing
<br>● Image/video compression
<br>● Removal of artifacts, shadows, glare and reflections, etc.
<br>● Image/video enhancement: brightening, color adjustment, sharpening, etc.
<br>● Style transfer
<br>●
Hyperspectral image restoration, enhancement, manipulation
<br>● Underwater image restoration, enhancement, manipulation</div><div style="margin-left:40px">● Light field image restoration, enhancement, manipulation
</div><div style="margin-left:40px">● Methods robust to changing weather conditions / adverse outdoor conditions
<br>● Image/video restoration, enhancement, manipulation on constrained settings/mobile devices
<br>● Visual domain translation
<br>● Multimodal translation
<br>● Perceptual enhancement
<br>● Perceptual manipulation <br></div><div style="margin-left:40px">
● Depth estimation
</div><div style="margin-left:40px">● Image/video generation and hallucination
<br>● Image/video quality assessment
<br>● Image/video semantic segmentation</div><div style="margin-left:40px">
● Saliency and gaze estimation <br></div><div style="margin-left:40px">● Studies and applications of the above.
<br>
</div><div><br></div></div></div><span><span><span><span><span><span><span><span><span><span><span></span></span></span></span></span></span></span></span></span></span></span>
</div><div>SUBMISSION</div><div><br></div><div>
<div>A <span><span>paper</span></span> submission has to be in English, in pdf format, and at most 8
pages (excluding references) in <span>CVPR</span> style. <br></div><div>
<a href="https://cvpr.thecvf.com/Conferences/2026/AuthorGuidelines" target="_blank">https://cvpr.thecvf.com/Conferences/2026/AuthorGuidelines</a>
</div><div>The review process is double blind. <br>
</div><div>Accepted and presented <span><span>papers</span></span> will be published after the conference
in the <span>2026</span> <span>CVPR</span> Workshops Proceedings.
<br>
<br>Author Kit: <a href="https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2026-v1(latex).zip">https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2026-v1(latex).zip</a></div><div></div><div>Submission site: <a href="https://cmt3.research.microsoft.com/NTIRE2026" target="_blank">https://cmt3.research.microsoft.com/NTIRE2026</a></div><div><br></div></div></div><br><div>WORKSHOP DATES</div><div><br></div><div>
<div><div style="margin-left:40px">
● <b>Early & Regular <span>Papers</span> submission deadline: March 10, <span><span><span>202</span></span></span><span><span>6<br></span></span></b></div><div style="margin-left:40px"><span><span></span></span></div><div style="margin-left:40px">● Challenge <span>Papers</span> submission deadline: March 24, <span><span><span>2026</span></span></span></div><div style="margin-left:40px"><span><span>
● <b>Papers reviewed elsewhere submission deadline: March 24, <span><span><span>2026</span></span></span><span><span> </span></span><span><span><br></span></span></b>
</span></span></div><div style="margin-left:40px"><span><span><br></span></span></div>
<div><div>CHALLENGES</div><div><br></div><div>
<ul style="list-style-type:disc"><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12703/" target="_blank">Ambient Light Normalization - Track White Lighting</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12792/" target="_blank">Ambient Light Normalization - Track Color Lighting</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12730/" target="_blank">Rip Current Detection and Segmentation</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12777/" target="_blank">HR Depth from Images of Specular and Transparent Surfaces - Track Stereo</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12778/" target="_blank">HR Depth from Images of Specular and Transparent Surfaces - Track Metric Mono</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12808/" target="_blank">Day and Night Raindrop Removal for Dual-Focused Images</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12932/" target="_blank">Learned Smartphone ISP with Unpaired Data</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12855/" target="_blank">NightTime Image Dehazing</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12971/" target="_blank">Reflection Removal in the Wild</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12978/" target="_blank">Efficient Under Display Camera Restoration</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12935/" target="_blank">Image Shadow Removal</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12856/" target="_blank">Bitstream-corrupted Video Restoration</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12922/" target="_blank">Efficient Burst HDR and Restoration</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12761/" target="_blank">Robust AI-Generated Image Detection in the Wild</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12891/" target="_blank">3D Content Super-Resolution - Track 1 Bicubic Degradation</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12894/" target="_blank">3D Content Super-Resolution - Track 2 Realistic Degradation</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12928/" target="_blank">Light Field Image Super-Resolution - Track 1 Classic</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12927/" target="_blank">Light Field Image Super-Resolution - Track 2 Efficiency</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12929/" target="_blank">Light Field Image Super-Resolution - Track 3 Large Model</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/11864/" target="_blank">Low Light Image Enhancement</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12994/" target="_blank">Joint Denoising and Low Light Image Enhancement</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12905/" target="_blank">Image Denoising</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12918/" target="_blank">Event-Based Image Deblurring</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12818/" target="_blank">Blind Computational Aberration Correction</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12795/" target="_blank">Robust Deepfake Detection</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12917/" target="_blank">Photography Retouching Transfer</a><b> started! </b></font></h6></li><li><h6><font size="2"><a href="https://www.codabench.org/competitions/12764/">Controllable Aperture Bokeh Rendering</a><b> started! </b></font></h6></li></ul>
<ul style="list-style-type:disc"><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Night Photography Rendering</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">X-AIGC Quality Assessment</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Low Light Video Enhancement</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Restore Any Image Model (RAIM) in the Wild</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Image Super-Resolution</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Efficient Image Super-Resolution</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Video Saliency Prediction</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Short-form UGC Video Restoration in the Wild with Generative Models</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Anomaly Detection of Face Enhancement for UGC</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Multi-frame HDR Denoising in Low Light</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">Deblurring</a><b> </b></font></h6></li><li><h6><font size="2"><a href="https://www.cvlai.net/ntire/2026/" target="_blank">New Challenge</a></font></h6></li></ul></div><div><br></div><div></div><div>
<h3 style="color:red"><font size="2" style="font-weight:normal;color:rgb(0,0,0)">To learn more about the challenges, to participate <span>in</span> the challenges,
<span>and</span> to access the data everybody is invited to check the <span><span><span>NTIRE</span></span></span> <span>2026</span> page: </font><span style="font-weight:normal;color:rgb(0,0,0)"><br></span></h3></div></div><div><div><a href="https://www.cvlai.net/ntire/2026/" target="_blank">https://www.cvlai.net/ntire/2026/</a></div><div><br><div><br></div><div>
CHALLENGES DATES<br><div>
<br><div style="margin-left:40px">● <b>Release of train data: January, <span><span><span><span>2026</span></span></span></span></b><br>● Competitions end: March 17, <span><span><span><span>202</span></span></span></span><span><span><span><span><span>6</span></span></span></span></span><b><span><span><span><span><span><br></span></span></span></span></span></b></div><div style="margin-left:40px"><b><span><span><span><br></span></span></span></b></div><b><span><span><span></span></span></span></b><span><span><span></span></span></span><span><span><span></span></span></span><b><span><span><span></span></span></span></b>
</div><div>
SPEAKERS (TBA) <br></div><div><br></div><div>SPONSORS (TBA)</div></div><div><br></div><div><br><div>
<div>Website: <a href="https://www.cvlai.net/ntire/2026/" target="_blank">https://www.cvlai.net/ntire/2026/</a></div><div>Contact: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a></div></div></div></div></div></div></div>
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