cxm12

cxm12's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.3k2271222.9k

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.5k371842.3k

• clovaai/stargan-v2

  StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

  Language:Python3.5k79162659

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.9k851599

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.5k968355

• amusi/ICCV2023-Papers-with-Code

  ICCV 2023 论文和开源项目合集

  2.5k39121249

• hanzhanggit/StackGAN

  Language:Python1.9k6967457

• YapengTian/Single-Image-Super-Resolution

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

  1.9k1101376

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.6k389149

• yinboc/liif

  Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

  Language:Python1.3k2156145

• nightrome/cocostuff

  The official homepage of the COCO-Stuff dataset.

  Language:Shell8401829144

• daitao/SAN

  Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

  Language:Python5571051105

• kaijieshi7/Dynamic-convolution-Pytorch

  Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

  Language:Python55332691

• akanimax/T2F

  T2F: text to face generation using Deep Learning

  Language:Python548342099

• huawei-noah/Pretrained-IPT

  Language:Python449105964

• XPixelGroup/ClassSR

  (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

  Language:Python36246142

• sefibk/KernelGAN

  Language:Python34487476

• ceciliavision/zoom-learn-zoom

  computational zoom from raw sensor data

  Language:Jupyter Notebook32183955

• wangxiao5791509/MultiModal_BigModels_Survey

  [MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

  2809017

• rentainhe/pytorch-distributed-training

  Simple tutorials on Pytorch DDP training

  Language:Python2694147

• S-aiueo32/contextual_loss_pytorch

  Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).

  Language:Python17141145

• cabooster/DeepCAD

  DeepCAD: Deep self-supervised learning for calcium imaging denoising

  Language:Python10451422

• rami0205/NGramSwin

  N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)

  Language:Python743136

• cxm12/UNiFMIR

  Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration

  Language:Python42121

• chuchienshu/Colorization

  The pythorch implementation of Colorful Image Colorization. In ECCV, 2016.

  Language:Python354511

• roserustowicz/psf-estimation

  PSF Estimation in Matlab, from Mosleh Blur Estimation paper

  Language:MATLAB19227

• superresolusian/NanoJ-SQUIRREL

  SQUIRREL software package

  Language:Java7213

• SilviaLauraPintea/N-JetNet

  Implements the N-Jet layer from "Resolution learning in deep convolutional networks using scale-space theory", TIP, 2021

  Language:Python5110

• xiaogang00/3D-IQA

  This is the code and paper for the research project of Stereoscopic Image Quality Assessment

  Language:MATLAB5220

• cxm12/FeedbackFMIR

  code for Distribution-informed Learning Enables High-quality and High-robustness Restoration of Fluorescence Microscopy

  Language:Python2100