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Qilixiang's Projects

javafamily icon javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

mganprior icon mganprior

Code for paper `Image Processing Using Multi-Code GAN Prior`

mzsr icon mzsr

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

niqe icon niqe

NIQE for IQA in python..

ntire2017 icon ntire2017

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

pyconv icon pyconv

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

pytorchinsight icon pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

rcan icon rcan

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

rdn icon rdn

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

repvgg icon repvgg

RepVGG: Making VGG-style ConvNets Great Again

san icon san

Exploring Self-attention for Image Recognition, CVPR2020.

scnet icon scnet

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

selfexsr icon selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

senet icon senet

Squeeze-and-Excitation Networks

srcnn-pytorch icon srcnn-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

srcnn-tensorflow icon srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

srgan-tensorflow icon srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

swinir icon swinir

SwinIR: Image Restoration Using Swin Transformer

tpu icon tpu

Reference models and tools for Cloud TPUs.

ttsr icon ttsr

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

vue-admin icon vue-admin

admin template based on vuejs2 and element.

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