xiongzhu666

xiongzhu666's Stars

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python36.1k5094796k

• xinntao/Real-ESRGAN

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

  Language:Python29k2316903.6k

• chaiNNer-org/chaiNNer

  A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.

  Language:Python4.7k64844288

• google-research/frame-interpolation

  FILM: Frame Interpolation for Large Motion, In ECCV 2022.

  Language:Python2.9k420285

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.6k968355

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.5k43149199

• GPUOpen-Effects/FidelityFX-FSR

  FidelityFX Super Resolution

  Language:C2.1k5230164

• OpenImageDenoise/oidn

  Intel® Open Image Denoise library

  Language:C++1.7k47172152

• JingyunLiang/VRT

  VRT: A Video Restoration Transformer (official repository)

  Language:Python1.4k1863133

• yulunzhang/RCAN

  PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

  Language:Python1.4k23129315

• yinboc/liif

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

  Language:Python1.3k2158146

• meiqua/shape_based_matching

  try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

  Language:C++1.3k58214486

• cszn/BSRGAN

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

  Language:Python1.2k3743183

• ckkelvinchan/BasicVSR_PlusPlus

  Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

  Language:Python61494567

• leftthomas/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"

  Language:Python5211248122

• zzxvictor/License-super-resolution

  A License Plate Image Reconstruction Project in Tensorflow2

  Language:Jupyter Notebook389131088

• xindongzhang/ECBSR

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

  Language:Python351163848

• suhwan-cho/awesome-video-object-segmentation

  A list of video object segmentation (VOS) papers

  25912525

• Fried-Rice-Lab/FriedRiceLab

  Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.

  Language:Python210171931

• csxmli2016/MARCONet

  Learning Generative Structure Prior for Blind Text Image Super-resolution [CVPR 2023]

  Language:Python20252414

• tfzhou/VS-Survey

  1947313

• junpan19/RRN

  Language:Python165151227

• TencentARC/MM-RealSR

  Codes for "Metric Learning based Interactive Modulation for Real-World Super-Resolution"

  Language:Python15961612

• zdyshine/Video-Frame-Interpolation-Summary

  Video Frame Interpolation Summary and Infer

  Language:Python1125214

• NeonLeexiang/DLGSANet

  Language:Python897248

• megvii-research/WACV2024-SAFA

  WACV2024 - Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution

  Language:Python888310

• yfaqh/Awesome-Scene-Text-Image-Super-Resolution

  A collection of papers and resources on scene text image super-resolution.

  69207

• brightyoun/LPSR-Recognition

  Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution

  Language:Python585513

• ofsoundof/LSDIR

  56571

• FVL2020/ELSFace

  The source code of TMM paper "An Efficient Latent Style Guided Transformer-CNN Framework for Face Super-Resolution"

  Language:Python13153