makex1n Goto Github PK

acdnet

【IJCAI2022】Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

aodn-octconv

art

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

awesome-gan-inversion

A collection of resources on GAN inversion.

awesome-image-denoising-state-of-the-art

awesome image and video denoising, state of the art networks

awesome-image-quality-assessment

A collection of IQA papers (mainly deep learning methods), datasets and codes.

awesome-segmenation-with-transformer

Transformer-Based Visual Segmentation: A Survey

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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.

basicsr-old-arch

cmt-pytorch

CMT: Convolutional Neural Networks Meet Vision Transformers

coordattention

Code for our CVPR2021 paper coordinate attention

coursera-ml-andrewng-notes

2018吴恩达老师的机器学习课程个人笔记

cvpr2022-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

cvpr2022-papers-with-code-demo

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

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55个国家的300所大学用于教学。

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

denoising-comparison

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

dwsrx4

DWSR x4 Deep wavelet prediction for image super-resolution

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

edsr-pytorch

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

enlca

This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI22