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Color Image Denoising
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GuoShi28/CBDNet
공식 코드https://github.com/IVRL/BUIFD
공식 코드Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
https://github.com/ZhaomingKong/color_image_denoising
공식 코드https://github.com/albrateanu/lyt-net
공식 코드LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
https://github.com/cszn/DnCNN
공식 코드Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/cszn/FFDNet
공식 코드FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
https://github.com/cszn/ircnn
공식 코드https://github.com/czbiohub/noise2self
공식 코드https://github.com/drorsimon/CSCNet
공식 코드https://github.com/grishavak/PaCNet-denoiser
공식 코드Patch Craft: Video Denoising by Deep Modeling and Patch Matching
https://github.com/huawei-noah/Pretrained-IPT
공식 코드https://github.com/ifryed/HyperRes
공식 코드https://github.com/iorism/CNN
공식 코드https://github.com/jingyunliang/swinir
공식 코드https://github.com/li-tong-621/dmid
공식 코드Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
https://github.com/majedelhelou/BUIFD
공식 코드Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
https://github.com/megvii-research/TLC
공식 코드Improving Image Restoration by Revisiting Global Information Aggregation
https://github.com/mogvision/adl
공식 코드https://github.com/qiuxuanzhizi/qwsnm
공식 코드https://github.com/stephen0808/dnlut
공식 코드DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
https://github.com/swz30/restormer
공식 코드Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/tum-vision/sublabel_relax
공식 코드Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
https://github.com/tyshiwo/MemNet
공식 코드https://github.com/wangzhi-swu/dtnfm
공식 코드A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
https://github.com/xl-tang3/RCOT
공식 코드https://github.com/yulunzhang/RDN
공식 코드https://github.com/zhangyi-3/kbnet
공식 코드https://github.com/zhaomingkong/gcp-id
공식 코드https://github.com/2023-MindSpore-1/ms-code-211/tree/main/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/IPT
https://github.com/2023-MindSpore-1/ms-code-216/tree/main/RDN
https://github.com/2023-MindSpore-4/Code6/tree/main/RDN
https://github.com/7568/ffdnet-pytorch
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
https://github.com/Aftaab99/DenoisingAutoencoder
https://github.com/Aoi-hosizora/FFDNet_pytorch
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.