hbw945

hbw945

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ns-emu-tools

一个用于安装/更新 NS 模拟器的工具

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bilibili-vue

前端vue+后端koa,全栈式开发bilibili首页

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bilibili-vue

vue实战bilibili仿站:vue + vue router + vuex + axios

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RDSR

(CVPR2022) Reflash Dropout in Image Super-Resolution

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HAT

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

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NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

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AdaDM

AdaDM: Enabling Normalization for Image Super-Resolution

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RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

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lte

Local Texture Estimator for Implicit Representation Function, in CVPR 2022

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KAIR

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

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CoordAttention

Code for our CVPR2021 paper coordinate attention

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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.

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RegionViT

open source the research work for published on arxiv. https://arxiv.org/abs/2106.02689

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deit

Official DeiT repository

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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EMSRDPN

PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'

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ConvNeXt

Code release for ConvNeXt model

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PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

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SRFlow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

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SwinIR

SwinIR: Image Restoration Using Swin Transformer (official repository)

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MTrans

【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

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DPlayer

:lollipop: Wow, such a lovely HTML5 danmaku video player

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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DCSR

[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

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BSRGAN

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

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HCFlow

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

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