Papers with Code 아카이브
Spectral Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Factral/UnMix-NeRF
공식 코드https://github.com/LimBee/NTIRE2017
공식 코드Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/anguswlx/nnspectrum
공식 코드Reconstructing spectral functions via automatic differentiation
https://github.com/anonymous-ai-for-earth/satellite-to-satellite-translation
공식 코드https://github.com/caiyuanhao1998/MST
공식 코드Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
https://github.com/cpregroup/specnerf-v2
공식 코드https://github.com/darshandeshpande/audio-spectral-enhancement
공식 코드https://github.com/fau-lms/hyvid
공식 코드https://github.com/makamoa/hyplex
공식 코드Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders
https://github.com/megvii-model/HINet
공식 코드HINet: Half Instance Normalization Network for Image Restoration
https://github.com/mzeegers/ADJUST
공식 코드ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
https://github.com/samirak98/learnedspectral
공식 코드Learned Regularization for Inverse Problems: Insights from a Spectral Model
https://github.com/shawndong98/rdluf_mixs2
공식 코드https://github.com/sherryzhou97/rdfnet
공식 코드RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
https://github.com/swz30/MIRNet
공식 코드Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/swz30/MPRNet
공식 코드https://github.com/swz30/restormer
공식 코드Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/tami-uib/jssunet
공식 코드Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution
https://github.com/wxy11-27/gmsr
공식 코드GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images
https://github.com/zbzhzhy/gd-net
공식 코드Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
https://github.com/zbzhzhy/unsupervised-spectral-reconstruction
공식 코드Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
https://github.com/zhaoyuzhi/Hierarchical-Regression-Network-for-Spectral-Reconstruction-from-RGB-Images
공식 코드Hierarchical Regression Network for Spectral Reconstruction from RGB Images
https://github.com/zhehuiwu/mp-hsir
공식 코드MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
https://gitlab.com/iiit-public/lfcnn
공식 코드https://github.com/2023-MindSpore-4/Code1/tree/main/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/2023-MindSpore-4/Code10/tree/main/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/2024-MindSpore-1/Code4/tree/main/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/Araxeus/PNG-Upscale
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/GarrickZ2/Image-Denoising
Restormer: Efficient Transformer for High-Resolution Image Restoration
https://github.com/GinZhu/MIASSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/GitDT11/EDSR-pytorch
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/HDCVLab/MC-Blur-Dataset
https://github.com/Intelligent-Imaging-Center/Spectral-Reconstruction
An efficient CNN for spectral reconstruction from RGB images
https://github.com/Joostdambrink/GeniusAI
Enhanced Deep Residual Networks for Single Image Super-Resolution
https://github.com/LEEPEIQIN/EDSR
Enhanced Deep Residual Networks for Single Image Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.