Papers with Code 아카이브
Image Enhancement
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 10
- 평가표
- 7
- 보존된 평가 기록
- 26
Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.
Source: A Comprehensive Review of Image Enhancement Techniques
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Guillem96/ssd-pytorch
https://github.com/Henry-GongZY/Low-light-Image-Enhancement
https://github.com/HiKapok/SSD.TensorFlow
https://github.com/HilaManor/Generative-deep-features
https://github.com/HiveYuan/ShadowRemoval-RIS-GAN_self_implement
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
https://github.com/HzFu/EyeQ_Enhancement
https://github.com/ICT-GoKnow/KnowCoder
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
https://github.com/IMAC-projects/Deblurring-PyTorch
https://github.com/IMAC-projects/SRN-Deblurring-PyTorch
https://github.com/IRVLab/Deep-SESR
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
https://github.com/IRVLab/funie-gan
Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/InquisitiveOjas/Object-Detection_SSD
https://github.com/Jakaria08/EESRGAN
https://github.com/Jakaria08/F-EESRGAN
https://github.com/JaryHuang/awesome_SSD_FPN_GIoU
https://github.com/JimmyLauren/caffe_ssd_mofified
https://github.com/JoegameZhou/ssd
https://github.com/JoyHsiao/Haitec
https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark
https://github.com/LZ-CH/Exposure_Correction-pytorch
https://github.com/LanqingLi/Chromosome
https://github.com/Li-Chongyi/Ucolor
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/Li-Chongyi/Zero-DCE_extension
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
https://github.com/Lineves7/EMNet
https://github.com/Lvfeifan/MBLLEN
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
https://github.com/MS-P3/code5/tree/main/uie
Unified Structure Generation for Universal Information Extraction
https://github.com/MTCloudVision/mxnet-dssd
https://github.com/MediaTek-NeuroPilot/mai21-learned-smartphone-isp
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
https://github.com/MenGuangwen-CN-0411/Simple-Use-of-SSD
https://github.com/Mind23-2/MindCode-101/tree/main/llnet
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
https://github.com/Mind23-2/MindCode-3/tree/main/llnet
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
https://github.com/Mind23-2/MindCode-82
https://github.com/MindCode-4/code-10/tree/main/UColor
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/MindCode-4/code-14/tree/main/UColor
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/MindCode-4/code-14/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.