https://github.com/vcl3d/cmudrn
공식 코드Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing
Papers with Code 아카이브
Single Image Deraining
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yc-liang/drt
공식 코드DRT: A Lightweight Single Image Deraining Recursive Transformer
https://github.com/yechanp/MCW-Net
공식 코드MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks
https://github.com/yluestc/derain
공식 코드https://github.com/yunguo224/lhp-rain
공식 코드From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
https://github.com/yunguo224/ug2_deraining
공식 코드https://github.com/zhangyi-3/kbnet
공식 코드https://github.com/ztmotalee/regformer
공식 코드Exploiting Regional Information Transformer for Single Image Deraining
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/IPT
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/SDNet
https://github.com/2023-MindSpore-4/Code11/tree/main/SDNet
https://github.com/GarrickZ2/Image-Denoising
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/GuoQuanhao/PRNet-Paddle
Progressive Image Deraining Networks: A Better and Simpler Baseline
https://github.com/HDCVLab/MC-Blur-Dataset
https://github.com/Leozhibin/PReNet-master
Progressive Image Deraining Networks: A Better and Simpler Baseline
https://github.com/MKFMIKU/VIDM
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/MS-Mind/MS-Code-02/tree/main/configs/nasnet
NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining
https://github.com/MS-Mind/MS-Code-08/tree/main/nasnet
NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining
https://github.com/Mind23-2/MindCode-101/tree/main/nasnet
NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining
https://github.com/Mind23-2/MindCode-3/tree/main/IPT
https://github.com/MindSpore-paper-code-3/code5/tree/main/SDNet
https://github.com/MyNameIsPHP/DerainNet-Installation
Clearing the Skies: A deep network architecture for single-image rain removal
https://github.com/Ohraincu/JDNet
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network
https://github.com/PINTO0309/PINTO_model_zoo/tree/main/261_EfficientDerain
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
https://github.com/Yizhou-Li-CV/ECNet
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
https://github.com/akalia77/hinet
HINet: Half Instance Normalization Network for Image Restoration
https://github.com/c-yn/SFNet
https://github.com/chiukin/SPANet
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
https://github.com/dongyan007/Pretrained-IPT-main-master
https://github.com/gymoon10/Instance-Segmentation-with-SpatialEmbedding-CA
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/hezhangsprinter/DID-MDN
Density-aware Single Image De-raining using a Multi-stream Dense Network
https://github.com/jinnovation/rainy-image-dataset
Clearing the Skies: A deep network architecture for single-image rain removal
https://github.com/kuijiang0802/mspfn
Multi-Scale Progressive Fusion Network for Single Image Deraining
https://github.com/kuijiang94/mspfn
Multi-Scale Progressive Fusion Network for Single Image Deraining
https://github.com/leftthomas/restormer
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/mindspore-ai/models/tree/master/research/cv/IPT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.