Alternatives and similar repositories for mask_uncertainty_spectral_SCI:

Users that are interested in mask_uncertainty_spectral_SCI are comparing it to the libraries listed below

• Jiamian-Wang / HSI_baseline
  A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging
  ☆23Updated last year
• MC-E / COLA-Net-Collaborative-Attention-Network-for-Image-Restoration
  Accepted by TMM 2021
  ☆42Updated 2 years ago
• MyuLi / PADUT
  ☆28Updated last year
• jianzhangcs / SCI3D
  Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]
  ☆29Updated 3 years ago
• Zeqiang-Lai / HSDT
  Official Code for Hybrid Spectral Denoising Transformer with Guided Attention (ICCV 2023)
  ☆47Updated last year
• jianzhangcs / DAGL
  Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
  ☆104Updated 3 years ago
• ShawnDong98 / RDLUF_MixS2
  The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Co…
  ☆25Updated last year
• ZhangJC-2k / SSR
  [CVPR'24] Improving Spectral Snapshot Reconstruction with Spatial-Spectral Rectification
  ☆21Updated 3 months ago
• TaoHuang95 / DGSMP
  PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"
  ☆53Updated 2 years ago
• JiahuaDong / DHM
  ☆21Updated 9 months ago
• ucaswangls / GAP-CCoT
  ☆12Updated 2 years ago
• songyonger / FADN
  An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"
  ☆34Updated 3 years ago
• guanghaoyin / CMDSR
  Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"
  ☆23Updated 2 years ago
• Aitical / PCL-SISR
  [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution
  ☆31Updated 10 months ago
• JungHunOh / SLS_CVPR2022
  ☆31Updated last year
• Huxiaowan / HDNet
  "HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)
  ☆20Updated 2 years ago
• gistvision / DIP-denosing
  Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)
  ☆50Updated 3 years ago
• saurabh-kataria / projected-distribution-loss
  My implementation of Projected Distribution Loss (PDL)
  ☆10Updated 4 years ago
• WenxueCui / Transformer_Low_Level_Vision
  Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)
  ☆53Updated 2 years ago
• manman1995 / Deep-Fourier-Upsampling
  Deep Fourier Upsampling
  ☆68Updated last year
• Sun1992 / HPUN
  ☆12Updated 2 years ago
• yuke93 / Path-Restore
  Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)
  ☆42Updated 3 years ago
• Aitical / TCSR
  Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
  ☆25Updated last year
• bit-isp / Real-LLRVD
  Low-light Raw Video Denoising with a High Quality Realistic Motion Dataset
  ☆15Updated 2 years ago
• YilinLiu97 / FasterDIP-devil-in-upsampling
  [ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior
  ☆23Updated last year
• hanlinwu / SADN
  Scale-aware Super-resolution Network
  ☆17Updated 6 months ago
• liuyang12 / PnP-SCI_python
  Plug-and-Play Algorithms for Video Snapshot Compressive Imaging (TPAMI 2022)
  ☆37Updated 4 years ago
• littlepure2333 / APE
  Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
  ☆45Updated 2 years ago
• jiexiaou / Stoformer
  Official repository for the paper "Stochastic Window Transformer for Image Restoration".
  ☆31Updated 2 years ago
• jianzhangcs / HerosNet
  HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)
  ☆46Updated 2 years ago