The LICAM project Lidar-guided Image Deblurring Challenge
Organized by diego.valsesia - Current server time: Aug. 20, 2025, 4:35 a.m. UTC
Current
FinalDec. 1, 2024, midnight UTC
End
Competition EndsDec. 31, 2099, midnight UTC
This is a challenge associated to the PRIN 2022 project "LICAM - AI-powered LiDAR fusion for next-generation smartphone cameras". The challenge task is to deblur real low-light images taken by the iPhone 15 Pro, using both the blurred image and the co-registered depth map produced by the Lidar sensor. The deblurred images will be compared to registered ground truth sharp images by means of the LPIPS perceptual quality metric.
Training and validation data are provided from a novel dataset of low-light iPhone images affected by noise and motion blur, with a registered Lidar map and a sharp ground truth image. These images are the most similar to the test images. Participants may also use the ARKitScenes dataset to pretrain their models by simulating motion blur.
The LICAM -“AI-powered LIDAR fusion for next-generation smartphone cameras (LICAM)” project is funded by European Union – Next Generation EU within the PRIN 2022 program (D.D. 104 - 02/02/2022 Ministero dell’Università e della Ricerca). The contents of this website reflect only the authors' views and opinions and the Ministry cannot be considered responsible for them.
You are provided some blurred testing images and you will need to return the corresponding deblurred image by exploiting the image itself and the Lidar depth map.
You will need to submit a zip file with the deblurred images, following the same names as the original ones.
The final score is computed using the LPIPS perceptual metric between the deblurred images and the ground truth sharp ones.
The submission MUST be a zip file called predictions.zip with as many .png files inside as the number of test images. Deblurred images must be saved as 8-bit PNGs for the submission zip.
No files have been added for this competition yet.
Final
Start: Dec. 1, 2024, midnight
Competition Ends
Dec. 31, 2099, midnight
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Sign In| # | Username | Score |
|---|---|---|
| 1 | diego.valsesia | 0.18727 |
| 2 | Aisina | 0.20242 |
| 3 | aalgarra | 0.20744 |