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a2n

PyTorch code for our paper "Attention in Attention Network for Image Super-Resolution"

acnet

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

adadm

AdaDM: Enabling Normalization for Image Super-Resolution

awesome-wechat-weapp

微信小程序开发资源汇总 :100:

bicubic-interpolation

Bicubic interpolation for images (Python)

bluetoothprinter

vue.js uni-app 跨平台app框架 蓝牙连接打印机 demo , ESC TSPL 协议与打印机交互, 鉴于网上资料太少，深知踩坑之痛苦，以此开源分享，如果对你有帮助 请点个Satrt，谢谢。开源**

bsrgan

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

colorui

鲜亮的高饱和色彩，专注视觉的小程序组件库

component-divide-and-conquer-for-real-world-image-super-resolution

cross-ttcf

结合标签主题的跨域推荐算法

dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

dcanet

Deep Connected Attention Networks

dcd

official code for dynamic convolution decomposition

ddf

The official implement of the CVPR2021 paper: Decoupled Dynamic Filter Networks

diversebranchblock

Diverse Branch Block: Building a Convolution as an Inception-like Unit

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

epsanet

EPSANet：An Efficient Pyramid Split Attention Block on Convolutional Neural Network

espcn

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

gct

Gated Channel Transformation for Visual Recognition (CVPR 2020)

halonet-pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

hioshop-miniprogram

海风小店，开源商城，微信小程序商城

idinvert

ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code

ikc

Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

involution-1

PyTorch reimplementation of the paper Involution: Inverting the Inherence of Convolution for Visual Recognition (2D and 3D Involution) [CVPR 2021].