Developing and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI).

The workshop's main focus is on MIPI, emphasizing the integration of novel image sensors and imaging algorithms. Together with the workshop, we organize a few exciting challenges and invite renowned researchers from both industry and academia to share their insights and recent work. Our challenge includes three tracks:

• Few-shot Raw Image Denoising is geared towards training neural networks for raw image denoising in scenarios where paired data is limited.
• Demosaic for HybridEVS Camera is to reconstruct HybridEVS's raw data which contains event pixels and defect pixels into RGB images.
• Nighttime Flare Removal is to improve nighttime image quality by removing lens flare effects.

Unlike previous workshops that focus on image or video manipulation, restoration and enhancement, or the efficient designs of AI models for mobile devices, the central theme of our workshop encompasses new sensors and imaging systems, which are the indispensable foundation for mobile intelligent photography and imaging. As the first workshop of this kind, MIPI aims to organize a dedicated workshop so that we can solicit relevant solutions and attract a focused group from both academia and industry for fruitful discussions.

Datasets are available at the Codalab site of each challenge track. Submissions to all phases will be done through the CodaLab site. Please register to the site and refer to the instructions on how to download the datasets and submit your results. The evaluation metrics of each track will be introduced in the respective site.

Link to Codalab: Few-shot Raw Image Denoising -- Demosaic for HybridEVS Camera -- Nighttime Flare Removal

The winner teams of each track will receive a certificate. Challenge participants with the most successful and innovative methods will be invited to present at the MIPI workshop.

Link to Terms and Conditions.

In the event of any inconsistency between the terms and details of this website and Codalab competition sites, the details on the Codalab sites shall prevail.

For more information, please contact us at mipi.challenge@gmail.com.