Papers with Code 아카이브
Image Enhancement
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- 평가표
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- 보존된 평가 기록
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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/salpgs/dgd-cgan
공식 코드DGD-cGAN: A Dual Generator for Image Dewatering and Restoration
https://github.com/sanakhamekhem/GAN-HTR
공식 코드Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement
https://github.com/satoshi-kosugi/masked-style-modeling
공식 코드Personalized Image Enhancement Featuring Masked Style Modeling
https://github.com/satoshi-kosugi/pg-ia-nilut
공식 코드Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image Enhancement
https://github.com/savvaki/lpdm
공식 코드Denoising Diffusion Post-Processing for Low-Light Image Enhancement
https://github.com/scaomath/torch-cfd
공식 코드Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
https://github.com/sczhou/LEDNet
공식 코드LEDNet: Joint Low-light Enhancement and Deblurring in the Dark
https://github.com/sedaboni/PnP-TV
공식 코드Plug-and-Play gradient-based denoisers applied to CT image enhancement
https://github.com/sh4174/3DStyleGAN
공식 코드https://github.com/sharif-apu/DPE_JBHI
공식 코드https://github.com/sharif-apu/lsd-tfformer
공식 코드Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone Images
https://github.com/sharif-apu/twostageHDR_NTIRE21
공식 코드A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/shenzheng2000/llie_survey
공식 코드Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
https://github.com/shermanlian/spatial-entropy-loss
공식 코드Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
https://github.com/sherrycattt/REGDet
공식 코드https://github.com/shikangbiao/cidnet_extension
공식 코드HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement
https://github.com/shiningzz/gupdm
공식 코드A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement
https://github.com/shubhamagarwal12/warlearn
공식 코드https://github.com/simi912/deep-convolutional-neural-network-classifier-for-alzheimer-s-disease-1
공식 코드https://github.com/sjmoran/CURL
공식 코드https://github.com/smartcameras/EdgeFool
공식 코드https://github.com/smbu-mm/llie
공식 코드Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
https://github.com/stephen0808/icelut
공식 코드https://github.com/supersupercong/uhdformer
공식 코드Correlation Matching Transformation Transformers for UHD Image Restoration
https://github.com/swz30/MIRNet
공식 코드Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/swz30/mirnetv2
공식 코드Learning Enriched Features for Fast Image Restoration and Enhancement
https://github.com/sxpro/ImageEnhance_cGAN
공식 코드https://github.com/tacalvin/Poisson2Sparse
공식 코드Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image
https://github.com/tanedam/sdm-car
공식 코드SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos
https://github.com/tanvirnwu/trifuse
공식 코드LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond
https://github.com/taowangzj/lldiffusion
공식 코드https://github.com/taowangzj/llformer
공식 코드Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
https://github.com/tcl-ailab/erase_bayer-filter_to_see_in_the_dark
공식 코드https://github.com/tljxyys/RDSTN_ultrasound
공식 코드Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging
https://github.com/txphome/dfpir
공식 코드Degradation-Aware Feature Perturbation for All-in-One Image Restoration
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