low-light-enhance
There are 22 repositories under low-light-enhance topic.
VITA-Group/EnlightenGAN
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
caiyuanhao1998/Retinexformer
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
mahmoudnafifi/Exposure_Correction
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
pvnieo/Low-light-Image-Enhancement
Python implementation of two low-light image enhancement techniques via illumination map estimation
cuiziteng/Illumination-Adaptive-Transformer
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
jinyeying/night-enhancement
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
atomicoo/EnhanceIMG
Image-enhancement algorithms: low-light enhancement, image restoration, super-resolution reconstruction. 图像增强算法探索:低光增强、图像修复、超分辨率重建 ……
cuiziteng/ICCV_MAET
🌕 [ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
jinyeying/nighttime_dehaze
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
MohitLamba94/Restoring-Extremely-Dark-Images-In-Real-Time
The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"
onpix/LCDPNet
Official PyTorch code and dataset of the paper "Local Color Distributions Prior for Image Enhancement" [ECCV2022]
albrateanu/LYT-Net
LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
soumik12345/Zero-DCE
Pytorch implementation of Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
lukun199/TBEFN
Project of 'TBEFN: A Two-branch Exposure-fusion Network for Low-light Image Enhancement '
gy65896/Enhancement-Access
[Access 2020] Low-Light Image Enhancement With Regularized Illumination Optimization and Deep Noise Suppression
gy65896/LVENet
[JON 2022] Lightweight Deep Network-Enabled Real-Time Low-Visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance
YoungYoung619/Make-vehicles-see-in-the-dark
Low light enhance for driving scene
talhatallat/Low-Light-Image-Enhancement
Images captured in outdoor scenes can be highly degraded due to poor lighting conditions. These images can have low dynamic ranges with high noise levels that affect the overall performance of computer vision algorithms. To make computer vision algorithms robust in low-light conditions, use low-light image enhancement to improve the visibility of an image. The histogram of pixel-wise inversion of low-light images or HDR images is very similar to the histogram of hazy images. Thus, you can use haze removal techniques to enhance low-light images.
Aftaab99/DenoisingAutoencoder
Convolutional Denoising Autoencoder for low light image denoising
Auggen21/Low-Light-Image-Enhancement-and-Detection
Detect and classify the vehicles in the low light using YOLO v3 pretrained model and low light image enhancement
SumanthRH/Learning-to-See-Moving-Objects-in-the-Dark
A fork of Learning to See Moving Objects in the Dark