Alice-Re

Alice-Re's Stars

• csjliang/DASR

  Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022

  Language:Python1339

• Lornatang/CSNLN-PyTorch

  PyTorch implemnts `Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining` paper.

  Language:Python52

• sczhou/IGNN

  [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution

  Language:Python30840

• ofsoundof/GRL-Image-Restoration

  Language:Python37224

• jaroslaw1007/CLIT

  Language:Python443

• caojiezhang/CiaoSR

  PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR2023)"

  Language:Python1162

• yinboc/liif

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

  Language:Python1.3k145

• miloyip/json-tutorial

  从零开始的 JSON 库教程

  Language:C7.7k4.3k

• linyacool/WebServer

  A C++ High Performance Web Server

  Language:C++7.7k2.1k

• clangen/musikcube

  a cross-platform, terminal-based music player, audio engine, metadata indexer, and server in c++

  Language:C++4.2k295

• balloonwj/flamingo

  flamingo 一款高性能轻量级开源即时通讯软件

  Language:C++3.8k1.4k

• lxiao217/study428

  深度学习、计算机视觉、OpenCV、自动驾驶、SLAM、C++/Python语言开发学习分享

  Language:C++12524

• greatlog/UnpairedSR

  This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https://arxiv.org/abs/2203.04962)

  Language:Python16311

• theFoxofSky/ddfnet

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

  Language:Python21434

• JUGGHM/OREPA_CVPR2022

  CVPR 2022 "Online Convolutional Re-parameterization"

  Language:Python16916

• Vincent-Hoo/Knowledge-Distillation-for-Super-resolution

  ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution

  Language:Python14324

• xindongzhang/ECBSR

  Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

  Language:Python34448

• icandle/EFDN

  Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)

  Language:Python634

• hunto/image_classification_sota

  Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.

  Language:Python8013

• bestfleer/RepNAS

  Code for RepNAS

  Language:Python13

• hunto/DyRep

  Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022

  434

• DingXiaoH/ACNet

  ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

  Language:Python830133

• sanghyun-son/EDSR-PyTorch

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

  Language:Python2.4k672

• bytedance/RLFN

  Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution

  Language:Python15522

• DingXiaoH/DiverseBranchBlock

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

  Language:Python32143

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.5k353

• shangqigao/BayeSR

  The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

  Language:Python446

• eduardzamfir/NTIRE23-RTSR

  CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution

  Language:JavaScript1277

• zhengchen1999/CAT

  PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"

  Language:Python1248

• GOATmessi8/RFBNet

  Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

  Language:Python1.4k355