fu-wang-2001

fu-wang-2001's Stars

• hnmizuho/AT-BSN

  The official implementation code of Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios (CVPR 2024).

  Language:Python2

• WooKyoungHan/JDEC

  Official implementation of the CVPR'24 Paper "JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients"

  Language:Python211

• p1y2z3/SDAP

  Random Sub-Samples Generation for Self-Supervised Real Image Denoising (ICCV 2023)

  Language:Python382

• nagejacob/SpatiallyAdaptiveSSID

  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)

  Language:Python867

• IceClear/StableSR

  [IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

  Language:Python2.1k138

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python64263

• haoyuc/MaskedDenoising

  [CVPR 2023] Masked Image Training for Generalizable Deep Image Denoising https://arxiv.org/abs/2303.13132

  Language:Python25211

• swz30/Restormer

  [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

  Language:Python1.7k234

• Wang-XIaoDingdd/LGBPN

  LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)

  Language:Python475

• linxin0/SCPGabNet

  Language:Python30

• Zj-BinXia/DiffIR

  This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

  Language:Jupyter Notebook45518

• zsyOAOA/ResShift

  ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

  Language:Python88748

• chqwer2/Multi-view-Self-supervised-Disentanglement-Denoising

  Language:Python322

• jyicu/CBSN

  This is an official implementation of "Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network" in ICCV 2023.

  Language:Python10

• cszhilu1998/BracketIRE

  [arXiv 2024] Exposure Bracketing is All You Need for Unifying Image Restoration and Enhancement Tasks

  Language:Python625

• Algolzw/daclip-uir

  [ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

  Language:Python64430

• csguoh/MambaIR

  [ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".

  Language:Python43036

• Andrew0613/X-Restormer

  ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design

  Language:Python553

• HyemiEsme/PUCA

  hello

  Language:Python441

• nagejacob/TBSN

  Language:Python251

• lll143653/amsnet

  Language:Python16

• Davidwontwait/CAPformer_ICME24

  Language:Python3