windrunners

transformation-segmentation

Visual-Tracking-Development

Visual Object Tracking

DailyRobot

awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

rgb

Generates images in true color RGB, natural color RGB, and dust RGB from ABI L1b Radiance or L2 Reflectance products

site-dust-detect

This repo examines an image-based dust emission monitoring method for construction activities.

Image-Hazing

Image hazing using depthmap and random noise

generate_haze

Python implementation of haze simulation

mkhaze

make the hazing image

RainModel

Generate Rain / Haze synthetic data for training

FoHIS

Towards Simulating Foggy and Hazy Images and Evaluating their Authenticity

Awesome-Robot-Learning

This repo contains a curative list of robot learning (mainly for manipulation) resources.

RIDCP_dehazing

[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

ECCV22-Perceiving-and-Modeling-Density-for-Image-Dehazing

ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.

NTIRE-2021-Dehazing-DWGAN

Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).

ALOFT

The official implementation for ALOFT (CVPR 2023).

DehazeFormer

[IEEE TIP] Vision Transformers for Single Image Dehazing

DeblurGanToDehaze

Transfer DeBlurGan to dehaze

gUNet

Rethinking Performance Gains in Image Dehazing Networks

FogRemoval

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

maxim

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

pytorch-denoising

This projects compares three architectures of neural networks in the denoising task. We use simple autoencoder, U-net and Dynamic U-net based on resnet34 implemented using fastai.

Denoising-image

Denoising an image by deep learning - comparison of neural network architectures.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

Awesome-Pruning

A curated list of neural network pruning resources.

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Image-Denoising-with-Deep-CNNs

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

deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks