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Zekun Li's Projects

arbsr icon arbsr

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

assr icon assr

Arbitrary Scale Image and video(maybe) Super-Resolution

basicsr icon 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.

bicubic_pytorch icon bicubic_pytorch

A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

edsr-pytorch icon edsr-pytorch

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

imu_lzk_ugp icon imu_lzk_ugp

本科毕业论文《基于注意力机制融合的语义分割模型研究》相关代码

kair icon kair

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

ldezero icon ldezero

Learning to make our own deep learning framework

liif icon liif

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

lmmsr icon lmmsr

基于mmediting,编写BasicVSR,供个人学习

lte icon lte

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

meta-sr-pytorch icon meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

ovsr icon ovsr

Omniscient Video Super-Resolution

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

rcan-it icon rcan-it

Revisiting RCAN: Improved Training for Image Super-Resolution

savsr icon savsr

SAVSR: Arbitrary-Scale Video Super-Resolution via A Learned Scale-Adaptive Architecture (AAAI'2024)

tadaconv icon tadaconv

[ICLR 2022] TAda! Temporally-Adaptive Convolutions for Video Understanding. This codebase provides solutions for video classification, video representation learning and temporal detection.

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