hujb48

hujb48's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.4k3136805.7k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python29.1k2326903.6k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.7k2912032.6k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124191.4k

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.6k53154558

• Janspiry/Image-Super-Resolution-via-Iterative-Refinement

  Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

  Language:Python3.7k65139473

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3.1k24300434

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python3k47168642

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k17115161

• YapengTian/Single-Image-Super-Resolution

  A collection of high-impact and state-of-the-art SR methods

  1.9k1101376

• FoundationVision/LlamaGen

  Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

  Language:Python1.4k217157

• XPixelGroup/HAT

  CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

  Language:Python1.3k19155158

• y7kim/agency-jekyll-theme

  Agency Theme for Jekyll

  Language:JavaScript89726392.1k

• zhouhaoyi/ETDataset

  The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

  706913139

• DarrenPan/Awesome-CVPR2024-Low-Level-Vision

  A Collection of Papers and Codes in CVPR2023/2022 about low level vision

  65523250

• yulunzhang/RDN

  Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

  Language:Lua5541627109

• NKI-AI/direct

  Deep learning framework for MRI reconstruction

  Language:Python246713842

• Joyies/Awesome-MRI-Reconstruction

  1556134

• lizhengwei1992/ResidualDenseNetwork-Pytorch

  Pytorch implement: Residual Dense Network for Image Super-Resolution

  Language:Python1412536

• eduardzamfir/NTIRE23-RTSR

  CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution

  Language:JavaScript139868

• microsoft/TokenMixers

  Language:Python1338711

• yiqings/MICCAI2022_paper_with_code

  MICCAI 2022 Paper with Code

  96104

• ayanglab/SwinMR

  This is the official implementation of our proposed SwinMR

  Language:Python661118

• LYL1015/ResDiff

  Code of "ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution"

  Language:Python64004

• tingfengainiaini/sparseCodingSuperResolution

  Language:Matlab464123

• Zhentao-Liu/RealSRQ-KLTSRQA

  This is the brief description of RealSRQ dataset and KLTSRQA software.

  37110

• Lihui-Chen/Awesome-Medical-Image-SR

  We collected awesome medical image super-resolution (SR) methods and common benchmarks in this repository.

  32205

• memad73/DualSR

  Official implementation of "DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution"

  Language:Python26131

• mrphysics-bonn/python-ismrmrd-reco

  Reconstruction pipeline using Python, ISMRMRD and the BART MRI toolbox

  Language:Python22435

• hujb48/SCNN-SIM

  Blind Image Quality Assessment

  Language:Python3013