mlsanityData to 14 Oct 2026

MIPI 2023 Challenge on RGBW Fusion: Methods and Results

arXiv 2304.10089 ↗First posted 20 Apr 2023eess.IV cs.CVcited by 3

Not on the map. Why?

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 an in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). With the success of the 1st MIPI Workshop@ECCV 2022, we introduce the second MIPI challenge, including four tracks focusing on novel image sensors and imaging algorithms. This paper summarizes and reviews the RGBW Joint Fusion and Denoise track on MIPI 2023. In total, 69 participants were successfully registered, and 4 teams submitted results in the final testing phase. The final results are evaluated using objective metrics, including PSNR, SSIM, LPIPS, and KLD. A detailed description of the top three 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://mipi-challenge.org/MIPI2023/.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 16 of its 28 references that are in the map. First posted on arXiv 20 Apr 2023.

Builds on

16 of 28 references.

References · 16

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  3. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  4. 2019CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Featurescited by 2,884
  5. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  6. 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,204
  7. 2022Simple Baselines for Image Restorationcited by 708
  8. 2022Activating More Pixels in Image Super-Resolution Transformercited by 438
  9. 2020Better Aggregation in Test-Time Augmentationcited by 122
  10. 2019Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentationcited by 30
  11. 2022Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolutioncited by 18
  12. 2022MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Resultscited by 14
4 more
  1. 2022MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Reportcited by 9
  2. 2022MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Reportcited by 7
  3. 2022MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Reportcited by 3
  4. 2022MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Reportcited by 3

Built on by

Cited by year

Citing papers per year: 2024: 3.

3 papers.