mlsanityData to 7 Oct 2026

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

arXiv 2209.07052 ↗First posted 15 Sep 2022eess.IV cs.CVcited by 14

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Abstract (arXiv)

Developing and integrating advanced image sensors with novel algorithms in camera systems are 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). To bridge the gap, we introduce the first MIPI challenge including five tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Under-Display Camera (UDC) Image Restoration track on MIPI 2022. In total, 167 participants were successfully registered, and 19 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Under-Display Camera Image Restoration. A detailed description of all models developed in this challenge is provided in this paper. More details of this challenge and the link to the dataset can be found at https://github.com/mipi-challenge/MIPI2022.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 35 of its 41 references that are in the map. First posted on arXiv 15 Sep 2022.

Builds on

35 of 41 references.

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Citing papers per year: 2022: 4; 2023: 7; 2024: 1; 2025: 2.

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