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/openvinotoolkit/training_extensions
https://github.com/paulwarkentin/tf-ssd-vgg
https://github.com/pesong/ssd-caffe
https://github.com/pessimiss/ai100-w8-master
https://github.com/pierluigiferrari/ssd_keras
https://github.com/piskovskyi/fMRI-VisionMamba
https://github.com/pminhtam/DeepBurstDenoising
https://github.com/pminhtam/MIRnet_SIDD
Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/poel22/covproject
https://github.com/ppak1991cy/RIS-GAN
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
https://github.com/pritishuplavikar/All-In-One-Underwater-Image-Enhancement-using-Domain-Adversarial-Learning
https://github.com/pvnieo/Low-light-Image-Enhancement
https://github.com/pwc-1/Paper-9/tree/main/6/Zero-DCE
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/pwc-1/Paper-9/tree/main/6/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/pwc-1/Paper-9/tree/main/7/Luminance-Guided-Chrominance-Enhancement-for-HEVC-Intra-Coding
Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding
https://github.com/pytorch/vision
https://github.com/qfgaohao/pytorch-ssd
https://github.com/rahulguptagzb09/Video-Object-Detection-Using-SSD
https://github.com/raisinglc/object_detection_SSD
https://github.com/rajatashhpa/1
https://github.com/rajs25/Object-Detection
https://github.com/ravi0531rp/DeepDrive
https://github.com/retinal-research/ote-gan
https://github.com/rfribeiro/face_detection
https://github.com/rfribeiro/face_detection_landmarks
https://github.com/rishabmallick/Sign-language-live-predictor
https://github.com/rowantseng/FUnIE-GAN-PyTorch
Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/rykov8/ssd_keras
https://github.com/saeed-anwar/UWCNN
https://github.com/saimj7/People-Counting-in-Real-Time
https://github.com/samo1petar/SSD
https://github.com/saunack/MobileNetv2-SSD
https://github.com/saurabh-kataria/projected-distribution-loss
https://github.com/sayakpaul/maxim-tf
https://github.com/sayannath/Low-Light-Image-Enhancement
Learning Enriched Features for Real Image Restoration and Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.