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Single Image Deraining
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Hammour-steak/GOUB
공식 코드Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
https://github.com/LI-Hao-SJTU/DerainRLNet
공식 코드Robust Representation Learning with Feedback for Single Image Deraining
https://github.com/OaDsis/DerainCycleGAN
공식 코드DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking
https://github.com/ShenZheng2000/SAPNet-for-image-deraining
공식 코드SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
https://github.com/Tombs98/CAPTNet
공식 코드Prompt-based Ingredient-Oriented All-in-One Image Restoration
https://github.com/Tombs98/M3SNet
공식 코드A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
https://github.com/UCLA-VMG/GT-RAIN
공식 코드Not Just Streaks: Towards Ground Truth for Single Image Deraining
https://github.com/algolzw/daclip-uir
공식 코드Controlling Vision-Language Models for Multi-Task Image Restoration
https://github.com/algolzw/image-restoration-sde
공식 코드Image Restoration with Mean-Reverting Stochastic Differential Equations
https://github.com/csdwren/PReNet
공식 코드Progressive Image Deraining Networks: A Better and Simpler Baseline
https://github.com/ghfkahfk/EMResformer
공식 코드Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal
https://github.com/google-research/maxim
공식 코드https://github.com/hejh8/cyclerdm
공식 코드https://github.com/hiker-lw/realrain-1k
공식 코드Toward Real-world Single Image Deraining: A New Benchmark and Beyond
https://github.com/hongwang01/DRCDNet
공식 코드RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining
https://github.com/hongwang01/RCDNet
공식 코드A Model-driven Deep Neural Network for Single Image Rain Removal
https://github.com/hongwang01/VRGNet
공식 코드https://github.com/huawei-noah/Pretrained-IPT
공식 코드https://github.com/igitugraz/weatherdiffusion
공식 코드Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
https://github.com/jeya-maria-jose/Derain_OUCD_Net
공식 코드Exploring Overcomplete Representations for Single Image Deraining using CNNs
https://github.com/jeya-maria-jose/TransWeather
공식 코드TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
https://github.com/joyies/spdnet
공식 코드Structure-Preserving Deraining with Residue Channel Prior Guidance
https://github.com/kuihua/MSPFN
공식 코드Multi-Scale Progressive Fusion Network for Single Image Deraining
https://github.com/leonmakise/prores
공식 코드ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
https://github.com/lsy17096535/Single-Image-Deraining
공식 코드https://github.com/madeline-hyh/ldrcnet
공식 코드Latent Degradation Representation Constraint for Single Image Deraining
https://github.com/megvii-model/HINet
공식 코드HINet: Half Instance Normalization Network for Image Restoration
https://github.com/nkicsl/resfusion
공식 코드https://github.com/rajeevyasarla/UMRL--using-Cycle-Spinning
공식 코드https://github.com/sunshangquan/transmamba
공식 코드A Hybrid Transformer-Mamba Network for Single Image Deraining
https://github.com/supersupercong/msgnn
공식 코드Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks
https://github.com/swz30/MPRNet
공식 코드https://github.com/swz30/restormer
공식 코드Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/tombs98/mhnet
공식 코드https://github.com/tsingqguo/efficientderain
공식 코드EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.