hbw945

hbw945's Stars

• DIYgod/DPlayer

  :lollipop: Wow, such a lovely HTML5 danmaku video player

  Language:JavaScript15.1k40002.4k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.1k1263022k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python6.9k581841.2k

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.3k945401.1k

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.6k33130678

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.2k55138516

• triwinds/ns-emu-tools

  一个用于安装/更新 NS 模拟器的工具

  Language:Python4k1483140

• facebookresearch/deit

  Official DeiT repository

  Language:Python3.9k49197545

• cszn/KAIR

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

  Language:Python2.8k45160606

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2k21139251

• BR-IDL/PaddleViT

  :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

  Language:Python1.2k10109315

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.1k3843177

• XPixelGroup/HAT

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

  Language:Python1.1k20139131

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python966949122

• DingXiaoH/RepLKNet-pytorch

  Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

  Language:Python826105684

• andreas128/SRFlow

  Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

  Language:Jupyter Notebook8247040112

• Visual-Attention-Network/VAN-Classification

  Language:Python80173087

• lybenson/bilibili-vue

  前端vue+后端koa，全栈式开发bilibili首页

  Language:Vue252227676

• JingyunLiang/HCFlow

  Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

  Language:Python186121428

• yhjo09/SR-LUT

  Language:Python16051726

• jaewon-lee-b/lte

  Local Texture Estimator for Implicit Representation Function, in CVPR 2022

  Language:Jupyter Notebook15642230

• Tengfei-Wang/DCSR

  [ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

  Language:Python136122232

• zlyyyy/bilibili-vue

  vue实战bilibili仿站：vue + vue router + vuex + axios

  Language:Vue1074230

• ckkelvinchan/GLEAN

  1058205

• XPixelGroup/RDSR

  (CVPR2022) Reflash Dropout in Image Super-Resolution

  Language:Python80856

• chunmeifeng/MTrans

  【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

  Language:Python672514

• njulj/AdaDM

  AdaDM: Enabling Normalization for Image Super-Resolution

  Language:Python58129

• IBM/RegionViT

  open source the research work for published on arxiv. https://arxiv.org/abs/2106.02689

  Language:Python51736

• yangbincheng/EMSRDPN

  PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'

  Language:Python8100

• hbw945/VANSR

  Language:Python1100