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20202022
most citedAIM 2020 Challenge on Learned Image Signal Processing Pipeline

16 citations · 20 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement

Jinha Kim, Jun Jiang, Jinwei Gu

With the advent of deep learning methods replacing the ISP in transforming sensor RAW readings into RGB images, numerous methodologies solidified into real-life applications. Equal…

cs.CV2022

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

Qingyu Yang, Guang Yang, Jun Jiang +7

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…

cs.CV2022

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

Wenxiu Sun, Qingpeng Zhu, Chongyi Li +6

Developing and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobil…

cs.CV2021

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Chongyi Li, Chunle Guo, Linghao Han +4

Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area…

cs.CV202016 cited

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Andrey Ignatov, Radu Timofte, Zhilu Zhang +36

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…