24 Open source projects that are alternatives of or similar to DudeNet

SwinIR: Image Restoration Using Swin Transformer (official repository)

Code for the paper "Pyramid Real Image Denoising Network"

Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

This paper is accepted by ICCV 2021.

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

A curated list of resources for Low-level Vision Tasks

[ICCV2021]DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network, https://arxiv.org/abs/2207.10434

Collection of popular and reproducible image denoising works.

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021

😎 Finding duplicate images made easy!

A python library for automated exploratory data analysis

image filtering techniques in python with examples

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

No description or website provided.

Genre Classification using Convolutional Neural Networks