https://github.com/ZhendongWang6/Uformer
공식 코드Uformer: A General U-Shaped Transformer for Image Restoration
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/ZhengyuZhao/ACE
공식 코드https://github.com/aaleka/transformer-cycle-gan
공식 코드Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial Network
https://github.com/aamir-mustafa/distil_style
공식 코드Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
https://github.com/aamir-mustafa/super-resolution-adversarial-defense
공식 코드Image Super-Resolution as a Defense Against Adversarial Attacks
https://github.com/abbasilab/synthetic_7t_mri
공식 코드https://github.com/abcdef2000/R2RNet
공식 코드R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
https://github.com/abcpp12383/threestagebinarization
공식 코드https://github.com/aillisinc/uspmie
공식 코드A Practical Framework for Unsupervised Structure Preservation Medical Image Enhancement
https://github.com/akshaydudhane16/bipnet
공식 코드https://github.com/albrateanu/lyt-net
공식 코드LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
https://github.com/alexadlu/cenet
공식 코드Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
https://github.com/alexande-rchan/fdce-net
공식 코드FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
https://github.com/alexzou14/wave-mamba
공식 코드Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement
https://github.com/algolzw/daclip-uir
공식 코드Controlling Vision-Language Models for Multi-Task Image Restoration
https://github.com/alik033/lit-net
공식 코드Harnessing Multi-resolution and Multi-scale Attention for Underwater Image Restoration
https://github.com/aliman80/Underwater-Object-Detection-via-Channel-Stablization
공식 코드Underwater Object Detection Enhancement via Channel Stabilization
https://github.com/alzayats/udnet
공식 코드Adaptive deep learning framework for robust unsupervised underwater image enhancement
https://github.com/amberwangyili/neurop
공식 코드https://github.com/amilbhagat/Conditional-Consistency-Models
공식 코드Conditional Consistency Guided Image Translation and Enhancement
https://github.com/angchen-dev/hemisparsegs
공식 코드https://github.com/aselsan-research-imaging-team/flight-net
공식 코드FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement
https://github.com/atmyre/rave
공식 코드RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
https://github.com/audreycui/relight
공식 코드https://github.com/audreycui/relighting
공식 코드https://github.com/aupendu/SelfEnNet
공식 코드https://github.com/avivga/style-image-prior
공식 코드Style Generator Inversion for Image Enhancement and Animation
https://github.com/axning/ksid
공식 코드https://github.com/bachzz/uw-diffphys
공식 코드Underwater Image Enhancement with Physical-based Denoising Diffusion Implicit Models
https://github.com/ballerin/v1diffusion
공식 코드Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
https://github.com/basitalawode/uwvot400
공식 코드Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
https://github.com/bcmi/Light-A-Video
공식 코드Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
https://github.com/bigwangyudong/lqit
공식 코드https://github.com/bob831009/raw_image_deblurring
공식 코드https://github.com/bupt-ai-cz/LLVIP
공식 코드LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
https://github.com/bywlzts/dmfourllie
공식 코드DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.