Under-Display-Camera-Zoo

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Under-Display-Camera-Zoo

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# Under-Display-Camera-Zoo

Updated by Zhuoran Zheng.

&hearts; denotes a very hot project.

## Description

Under-Display-Camera: A survey on Under-Display-Camera. Papers, codes and datasets are maintained.

## Image Quality Metrics

+ PSNR (Peak Signal-to-Noise Ratio) [code](https://github.com/aizvorski/video-quality) [paper](https://ieeexplore.ieee.org/document/4550695/;jsessionid=_-Qe0692ihq1HUtVyMvgZtg6xks4_lM-WYIYXxgfKMjjwyljloaI!-539104042)

+ SSIM (Structural Similarity) [code](https://github.com/aizvorski/video-quality/blob/master/ssim.py) [paper](https://ieeexplore.ieee.org/document/1284395/)

+ NIQE (Naturalness Image Quality Evaluator) [code](https://github.com/aizvorski/video-quality/blob/master/niqe.py) [paper](http://live.ece.utexas.edu/research/Quality/niqe_spl.pdf)

## Research

### Dataset
+ MPGNet [dataset](https://drive.google.com/drive/folders/10NJnCFcnpl_iEXFFdS2dRWhOi9Wt6Xxr)
+ UDC-SE [dataset](https://drive.google.com/drive/folders/14Zp2Ff4Ke5491qmyb-BXIx77l9jNMxkG)
+ Flare7 [paper](https://arxiv.org/pdf/2306.04236.pdf) [dataset](https://github.com/ykdai/Flare7K)
+ UDC-UAV [paper](http://arxiv.org/abs/2202.06283) [dataset](https://pan.baidu.com/s/1vMEZ3RmUOhiAKiTI_FyRjA) password: 3v5w &hearts;
+ ECCV2020 [dataset](https://github.com/varun19299/deep-atrous-guided-filter) &hearts;

### Paper
**2024**
+ LRDif: Diffusion Models for Under-Display Camera Emotion Recognition [paper](https://arxiv.org/pdf/2402.00250.pdf)

**2023**
+ UDC-SIT: A Real-World Dataset for Under-Display Cameras [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Song_Under-Display_Camera_Image_Restoration_with_Scattering_Effect_ICCV_2023_paper.pdf)
+ Under-Display Camera Image Restoration with Scattering Effect [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Song_Under-Display_Camera_Image_Restoration_with_Scattering_Effect_ICCV_2023_paper.pdf)
+ Designing Phase Masks for Under-Display Cameras [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Yang_Designing_Phase_Masks_for_Under-Display_Cameras_ICCV_2023_paper.pdf)
+ FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras [paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Liu_FSI_Frequency_and_Spatial_Interactive_Learning_for_Image_Restoration_in_ICCV_2023_paper.pdf)
+ Deep Video Restoration for Under-Display Camera [paper](https://arxiv.org/pdf/2309.04752.pdf)
+ Under-Display Camera Image Restoration with Scattering Effect [paper](https://arxiv.org/pdf/2308.04163.pdf)
+ Blind Face Restoration for Under-Display Camera via Dictionary Guided Transformer [paper](https://arxiv.org/pdf/2308.10196.pdf)
+ Dual-Domain Network for Restoring Images from Under-Display Cameras (best poster paper) [paper](https://www.researchgate.net/publication/372626225_Dual-Domain_Network_for_Restoring_Images_from_Under-Display_Cameras)
+ Image Restoration via UAVFormer for Under-Display Camera of UAV [paper](https://www.researchgate.net/profile/Zhuoran-Zheng/publication/371810876_Image_Restoration_via_UAVFormer_for_Under-Display_Camera_of_UAV/links/6496860b8de7ed28ba5235af/Image-Restoration-via-UAVFormer-for-Under-Display-Camera-of-UAV.pdf)
+ Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera [paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Feng_Generating_Aligned_Pseudo-Supervision_From_Non-Aligned_Data_for_Image_Restoration_in_CVPR_2023_paper.pdf)
+ Lightweight Neural Network for Enhancing Imaging Performance of Under-Display Camera [paper](https://ieeexplore.ieee.org/abstract/document/10147871)
+ Perceptual Image Enhancement for Smartphone Real-Time Applications [paper](https://openaccess.thecvf.com/content/WACV2023/papers/Conde_Perceptual_Image_Enhancement_for_Smartphone_Real-Time_Applications_WACV_2023_paper.pdf)

**2022**
+ Enhanced Coarse-to-Fine Network for Image Restoration from Under-Display Cameras [paper](https://link.springer.com/chapter/10.1007/978-3-031-25072-9_9)
+ MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results [paper](https://arxiv.org/pdf/2209.07052.pdf)
+ Synthetic Dataset for Improving UDC Video Restoration Network Performance [paper](https://sid.onlinelibrary.wiley.com/doi/abs/10.1002/sdtp.15415)
+ Cascaded Curve Estimation [paper](https://ieeexplore.ieee.org/abstract/document/9798712)
+ BNUDC   [paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Koh_BNUDC_A_Two-Branched_Deep_Neural_Network_for_Restoring_Images_From_CVPR_2022_paper.pdf)
+ UDC-UAV [paper](http://arxiv.org/abs/2202.06283) &hearts; <font color=FF0000> The dataset and checkpoint have been updated! </font>
+ Modular Degradation Simulation and Restoration for Under-Display Camera [paper](https://openaccess.thecvf.com/content/ACCV2022/papers/Zhou_Modular_Degradation_Simulation_and_Restoration_for_Under-Display_Camera_ACCV_2022_paper.pdf)

**2021**
+ Image restoration for under-display camera [paper](https://openaccess.thecvf.com/content/CVPR2021/html/Zhou_Image_Restoration_for_Under-Display_Camera_CVPR_2021_paper.html) &hearts;
+ Under display camera quad bayer raw image restoration using deep learning [paper](https://www.ingentaconnect.com/content/ist/ei/2021/00002021/00000007/art00003)
+ Fast Image Restoration and Glare Removal for Under-Display Camera by Guided Filter [paper](https://sid.onlinelibrary.wiley.com/doi/abs/10.1002/sdtp.14652)
+ Diffraction Simulation of Camera Under LCD Considering the Influence of Liquid-Crystal Phase Modulation [paper](https://sid.onlinelibrary.wiley.com/doi/abs/10.1002/sdtp.14971)
+ Designing Display Pixel Layouts for Under-Panel Cameras [paper](https://ieeexplore.ieee.org/document/9416801/) &hearts;
+ Residual Dilated U-Net with Spatially Adaptive Normalization for the Restoration of Under Display Camera Images [paper](https://ieeexplore.ieee.org/document/9689632) &hearts;
+ Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network [paper](https://openaccess.thecvf.com/content/CVPR2021/html/Feng_Removing_Diffraction_Image_Artifacts_in_Under-Display_Camera_via_Dynamic_Skip_CVPR_2021_paper.html)
+ Controllable Image Restoration for Under-Display Camera in Smartphones [paper](https://openaccess.thecvf.com/content/CVPR2021/html/Kwon_Controllable_Image_Restoration_for_Under-Display_Camera_in_Smartphones_CVPR_2021_paper.html)
+ Quantitative Image Quality Evaluation Method for UDC (Under Display Camera) [paper](https://ist.rivervalley.io/ei/articles/2021/9/198-1-198-5)
+ ISP-Agnostic Image Reconstruction for Under-Display Cameras [paper](https://arxiv.org/abs/2111.01511)

**2020**

+ Transform Domain Pyramidal Dilated Convolution Networks for Restoration of Under Display Camera Images [paper](https://link.springer.com/chapter/10.1007/978-3-030-68238-5_28)
+ Deep Atrous Guided Filter for Image Restoration in Under Display Cameras [paper](https://link.springer.com/chapter/10.1007/978-3-030-68238-5_29)
+ Residual and Dense UNet for Under-Display Camera Restoration [paper](https://link.springer.com/chapter/10.1007/978-3-030-68238-5_30)

### Github project
+ MPGNet [code](https://github.com/SummerParadise-0922/MPGNet#modular-degradation-simulation-and-restoration-for-under-display-camera)
+ Flare7K++ [code](https://github.com/ykdai/Flare7K)
+ UDC-Baseline [code](https://github.com/CaravanPassenger/UDC-Baseline)
+ BNUDC [code](https://github.com/JaihyunKoh/BNUDC)
+ Deep-atrous-guided-filter [code](https://github.com/varun19299/deep-atrous-guided-filter)
+ PDCRN architecture for Under-display camera image restoration [code](https://github.com/DensenDavis/UDC_Restoration)
+ UDC-UAV [code](https://github.com/zzr-idam/Under-Display-Camera-UAV)

### Challenges
+ _Real-world Computer Vision from Inputs with Limited Quality [project](https://rlq-tod.github.io/index.html)

## Thanks
Thanks to **Xiang Chen** [Email](cv.xchen@gmail.com) and the **IDAM** [Website](https://xiuyijia.github.io/) for supporting this project.

## Mobile Phones

+ 中兴天机 Axon 20 5G
+ 小米 MIX 4
+ 摩托罗拉 edgeX30

## Contact
If you have any question, please feel free to contact Zhuoran Zheng (Email: zhengzr@njust.edu.cn).

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