2244 Repositories
Python image-classification Libraries
Official implementation for "Low-light Image Enhancement via Breaking Down the Darkness"
Low-light Image Enhancement via Breaking Down the Darkness by Qiming Hu, Xiaojie Guo. 1. Dependencies Python3 PyTorch=1.0 OpenCV-Python, TensorboardX
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
QAConv Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting This PyTorch code is proposed in
[NeurIPS '21] Adversarial Attacks on Graph Classification via Bayesian Optimisation (GRABNEL)
Adversarial Attacks on Graph Classification via Bayesian Optimisation @ NeurIPS 2021 This repository contains the official implementation of GRABNEL,
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
Realistic evaluation of transductive few-shot learning Introduction This repo contains the code for our NeurIPS 2021 submitted paper "Realistic evalua
Official implementation of the NeurIPS'21 paper 'Conditional Generation Using Polynomial Expansions'.
Conditional Generation Using Polynomial Expansions Official implementation of the conditional image generation experiments as described on the NeurIPS
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators [Project Website] [Replicate.ai Project] StyleGAN-NADA: CLIP-Guided Domain Adaptation
Official Implementation of "Designing an Encoder for StyleGAN Image Manipulation"
Designing an Encoder for StyleGAN Image Manipulation (SIGGRAPH 2021) Recently, there has been a surge of diverse methods for performing image editing
Official Implementation for Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation We present a generic image-to-image translation framework, pixel2style2pixel (pSp
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches [Paper] [Project Page] [Interactive Demo] [Supplementary Material] Usag
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
ML-Decoder: Scalable and Versatile Classification Head Paper Official PyTorch Implementation Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baru
Official Implementation for HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing Yuval Alaluf*, Omer Tov*, Ron Mokady, Rinon Gal, Amit H. Bermano *Denotes equ
OpenL3: Open-source deep audio and image embeddings
OpenL3 OpenL3 is an open-source Python library for computing deep audio and image embeddings. Please refer to the documentation for detailed instructi
Memory tests solver with using OpenCV
Human Benchmark project This project is OpenCV based programs which are puzzle solvers for 7 different games for https://humanbenchmark.com/. made as
Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
Topology-Imbalance Learning for Semi-Supervised Node Classification Introduction Code for NeurIPS 2021 paper "Topology-Imbalance Learning for Semi-Sup
Official implementation of VQ-Diffusion: Vector Quantized Diffusion Model for Text-to-Image Synthesis
Official implementation of VQ-Diffusion: Vector Quantized Diffusion Model for Text-to-Image Synthesis
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
Swin-Transformer is basically a hierarchical Transformer whose representation is computed with shifted windows.
Swin-Transformer Swin-Transformer is basically a hierarchical Transformer whose representation is computed with shifted windows. For more details, ple
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data (NeurIPS 2021) This repository provides the official PyTorch implementation
Official implementation for "Low-light Image Enhancement via Breaking Down the Darkness"
Low-light Image Enhancement via Breaking Down the Darkness by Qiming Hu, Xiaojie Guo. 1. Dependencies Python3 PyTorch=1.0 OpenCV-Python, TensorboardX
Official repository of the paper "GPR1200: A Benchmark for General-PurposeContent-Based Image Retrieval"
GPR1200 Dataset GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval (ArXiv) Konstantin Schall, Kai Uwe Barthel, Nico Hezel, Klaus J
AdaDM: Enabling Normalization for Image Super-Resolution
AdaDM AdaDM: Enabling Normalization for Image Super-Resolution. You can apply BN, LN or GN in SR networks with our AdaDM. Pretrained models (EDSR*/RDN
Official Pytorch Implementation of Unsupervised Image Denoising With Frequency Domain Knowledge (BMVC2021 Oral Accepted Paper)
Unsupervised Image Denoising with Frequency Domain Knowledge (BMVC 2021 Oral) : Official Project Page This repository provides the official PyTorch im
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic [Paper] [Colab is coming soon] Approach Example Usage To r
TensorFlow implementation of the algorithm in the paper "Decoupled Low-light Image Enhancement"
Decoupled Low-light Image Enhancement Shijie Hao1,2*, Xu Han1,2, Yanrong Guo1,2 & Meng Wang1,2 1Key Laboratory of Knowledge Engineering with Big Data
A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)
this is a simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)
A benchmark dataset for mesh multi-label-classification based on cube engravings introduced in MeshCNN
Double Cube Engravings This script creates a dataset for multi-label mesh clasification, with an intentionally difficult setup for point cloud classif
A multi-scale unsupervised learning for deformable image registration
A multi-scale unsupervised learning for deformable image registration Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu and Baochang Zha
EFB Docker image with efb-telegram-master and efb-wechat-slave
efb-wechat-docker EFB Docker image with efb-telegram-master and efb-wechat-slave Features Container run by non-root user. Support add environment vari
Official Pytorch Implementation of Unsupervised Image Denoising with Frequency Domain Knowledge
Unsupervised Image Denoising with Frequency Domain Knowledge (BMVC 2021 Oral) : Official Project Page This repository provides the official PyTorch im
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
NTIRE2017 Super-resolution Challenge: SNU_CVLab Introduction This is our project repository for CVPR 2017 Workshop (2nd NTIRE). We, Team SNU_CVLab, (B
This project uses Template Matching technique for object detecting by detection of template image over base image.
Object Detection Project Using OpenCV This project uses Template Matching technique for object detecting by detection the template image over base ima
利用Tensorflow实现基于CNN的中文短文本分类
Text Classification with CNN 使用卷积神经网络进行中文文本分类 CNN做句子分类的论文可以参看: Convolutional Neural Networks for Sentence Classification 还可以去读dennybritz大牛的博客:Implemen
This repository contains the source code of our work on designing efficient CNNs for computer vision
Efficient networks for Computer Vision This repo contains source code of our work on designing efficient networks for different computer vision tasks:
A real world application of a Recurrent Neural Network on a binary classification of time series data
What is this This is a real world application of a Recurrent Neural Network on a binary classification of time series data. This project includes data
Extracts random colours from an image
EXTRACT COLOURS This repo contains all the project files. Project Description A Program that extracts 10 random colours from an image and saves the rg
DuBE: Duple-balanced Ensemble Learning from Skewed Data
DuBE: Duple-balanced Ensemble Learning from Skewed Data "Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning" (IEEE ICDE 2022 S
IMBENS: class-imbalanced ensemble learning in Python.
IMBENS: class-imbalanced ensemble learning in Python. Links: [Documentation] [Gallery] [PyPI] [Changelog] [Source] [Download] [知乎/Zhihu] [中文README] [a
ML-Decoder: Scalable and Versatile Classification Head
ML-Decoder: Scalable and Versatile Classification Head Paper Official PyTorch Implementation Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baru
OpenLT: An open-source project for long-tail classification
OpenLT: An open-source project for long-tail classification Supported Methods for Long-tailed Recognition: Cross-Entropy Loss Focal Loss (ICCV'17) Cla
Image Captioning using CNN ,LSTM and Attention
Image Captioning using CNN ,LSTM and Attention This is a deeplearning model which tries to summarize an image into a text . Installation Install this
Official Pytorch Code for the paper TransWeather
TransWeather Official Code for the paper TransWeather, Arxiv Tech Report 2021 Paper | Website About this repo: This repo hosts the implentation code,
A procedural Blender pipeline for photorealistic training image generation
BlenderProc2 A procedural Blender pipeline for photorealistic rendering. Documentation | Tutorials | Examples | ArXiv paper | Workshop paper Features
Napari simpleitk image processing
napari-simpleitk-image-processing (n-SimpleITK) Process images using SimpleITK in napari Usage Filters of this napari plugin can be found in the Tools
Experimenting with computer vision techniques to generate annotated image datasets from gameplay recordings automatically.
Experimenting with computer vision techniques to generate annotated image datasets from gameplay recordings automatically. The collected data will then be used to train a deep neural network that can detect enemy player models in real time, during gameplay. Finally, a virtual input device will adjust the player's crosshair based on live detections for greater accuracy.
Open source software for image correlation, distance and analysis
Douglas-Quaid Project Open source software for image correlation, distance and analysis. Strongly related to : Carl-Hauser Problem statement (@CIRCL)
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
PointCNN: Convolution On X-Transformed Points Created by Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen. Introduction PointCNN
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Translate U is capable of translating the text present in an image from one language to the other.
Translate U is capable of translating the text present in an image from one language to the other. The app uses OCR and Google translate to identify and translate across 80+ languages.
An index of algorithms for learning causality with data
awesome-causality-algorithms An index of algorithms for learning causality with data. Please cite our survey paper if this index is helpful. @article{
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
The repository contains the implementations for Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects. Model
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Win
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
SinGAN Project | Arxiv | CVF | Supplementary materials | Talk (ICCV`19) Official pytorch implementation of the paper: "SinGAN: Learning a Generative M
Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"
OANet implementation Pytorch implementation of OANet for ICCV'19 paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network", by
An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020
UnpairedSR An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020 turn RCAN(modified) -- xmodel(xilinx
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions'
pytorch-inpainting-with-partial-conv Official implementation is released by the authors. Note that this is an ongoing re-implementation and I cannot f
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int
labelpix is a graphical image labeling interface for drawing bounding boxes
Welcome to labelpix 👋 labelpix is a graphical image labeling interface for drawing bounding boxes. 🏠 Homepage Install pip install -r requirements.tx
Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Faster R-CNN pretrained on VisualGenome This repository modifies maskrcnn-benchmark for object detection and attribute prediction on VisualGenome data
Multimodal commodity image retrieval 多模态商品图像检索
Multimodal commodity image retrieval 多模态商品图像检索 Not finished yet... introduce explain:The specific description of the project and the product image dat
Deep Image Matting implementation in PyTorch
Deep Image Matting Deep Image Matting paper implementation in PyTorch. Differences "fc6" is dropped. Indices pooling. "fc6" is clumpy, over 100 millio
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation This is the inference codes of Context-Aware Image Matting for Simultaneo
Indices Matter: Learning to Index for Deep Image Matting
IndexNet Matting This repository includes the official implementation of IndexNet Matting for deep image matting, presented in our paper: Indices Matt
Official repository for Natural Image Matting via Guided Contextual Attention
GCA-Matting: Natural Image Matting via Guided Contextual Attention The source codes and models of Natural Image Matting via Guided Contextual Attentio
Official repository for the paper F, B, Alpha Matting
FBA Matting Official repository for the paper F, B, Alpha Matting. This paper and project is under heavy revision for peer reviewed publication, and s
Official repository for Hierarchical Opacity Propagation for Image Matting
HOP-Matting Official repository for Hierarchical Opacity Propagation for Image Matting 🚧 🚧 🚧 Under Construction 🚧 🚧 🚧 🚧 🚧 🚧 Coming Soon
Bridging Composite and Real: Towards End-to-end Deep Image Matting
Bridging Composite and Real: Towards End-to-end Deep Image Matting Please note that the official repository of the paper Bridging Composite and Real:
Official repository of Semantic Image Matting
Semantic Image Matting This is the official repository of Semantic Image Matting (CVPR2021). Overview Natural image matting separates the foreground f
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
Parameterized Hypercomplex Graph Neural Networks (PHC-GNNs) PHC-GNNs (Le et al., 2021): https://arxiv.org/abs/2103.16584 PHM Linear Layer Illustration
(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"
SSR (NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductivefew-shot classification" [Paper] [Project webpage]
The official repository for Deep Image Matting with Flexible Guidance Input
FGI-Matting The official repository for Deep Image Matting with Flexible Guidance Input. Paper: https://arxiv.org/abs/2110.10898 Requirements easydict
Image Tooᥣs Bot I specialize for logo design Services with Amazing logo Creator Platform and more tools
Image Tooᥣs Bot I specialize for logo design Services with Amazing logo Creator Platform and more tools
Official pytorch code for SSC-GAN: Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation(ICCV 2021)
SSC-GAN_repo Pytorch implementation for 'Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation'.PDF SSC-GAN:Sem
Semantic Image Synthesis with SPADE
Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more
Digital image process Basic algorithm
These are some basic algorithms that I have implemented by my hands in the process of learning digital image processing, such as mean and median filtering, sharpening algorithms, interpolation scaling algorithms, histogram equalization algorithms, etc.
Image comparison slider component for Streamlit
Streamlit Image Comparison Component A simple Streamlit Component to compare images with a slider in Streamlit apps using Knightlab's JuxtaposeJS. It
Python script for diving image data to train test and val
dataset-division-to-train-val-test-python python script for dividing image data to train test and val If you have an image dataset in the following st
This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models are Pix2Pix, Pix2PixHD, CycleGAN and PointWise.
RGB2NIR_Experimental This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. The models
Spectralformer: Rethinking hyperspectral image classification with transformers
Spectralformer: Rethinking hyperspectral image classification with transformers Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza
TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.
TensorFlow-Image-Models Introduction Usage Models Profiling License Introduction TensorfFlow-Image-Models (tfimm) is a collection of image models with
Comment Webpage Screenshot is a GitHub Action that captures screenshots of web pages and HTML files located in the repository
Comment Webpage Screenshot is a GitHub Action that helps maintainers visually review HTML file changes introduced on a Pull Request by adding comments with the screenshots of the latest HTML file changes on the Pull Request
The codes and related files to reproduce the results for Image Similarity Challenge Track 2.
The codes and related files to reproduce the results for Image Similarity Challenge Track 2.
Semi-Supervised Learning for Fine-Grained Classification
Semi-Supervised Learning for Fine-Grained Classification This repo contains the code of: A Realistic Evaluation of Semi-Supervised Learning for Fine-G
The code for 'Deep Residual Fourier Transformation for Single Image Deblurring'
Deep Residual Fourier Transformation for Single Image Deblurring Xintian Mao, Yiming Liu, Wei Shen, Qingli Li and Yan Wang code will be released soon
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized C
Reproduced Code for Image Forgery Detection papers.
Image Forgery Detection With over 4.5 billion active internet users, the amount of multimedia content being shared every day has surpassed everyone’s
CLIPImageClassifier wraps clip image model from transformers
CLIPImageClassifier CLIPImageClassifier wraps clip image model from transformers. CLIPImageClassifier is initialized with the argument classes, these
OpenMMLab Image Classification Toolbox and Benchmark
Introduction English | 简体中文 MMClassification is an open source image classification toolbox based on PyTorch. It is a part of the OpenMMLab project. D
An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.
Extracting OpenAI CLIP (Global/Grid) Features from Image and Text This repo aims at providing an easy to use and efficient code for extracting image &
A naive Bayes model for cancer classification using a set of documents
Naivebayes text classifcation model for cancer and noncancer documents Author: Alex King Purpose Requirements/files included How to use 1. Purpose The
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners A TensorFlow implementation of Masked Autoencoders Are Scalable Vision Learners [1]. Our implementati
Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network Pytorch implementation for our DivCo. We propose a simple ye
R interface to fast.ai
R interface to fastai The fastai package provides R wrappers to fastai. The fastai library simplifies training fast and accurate neural nets using mod
A fastai/PyTorch package for unpaired image-to-image translation.
Unpaired image-to-image translation A fastai/PyTorch package for unpaired image-to-image translation currently with CycleGAN implementation. This is a
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
DARP-SBIR Intro This repository contains the source code implementation for ICDM submission paper Deep Reinforced Attention Regression for Partial Ske
Contour-guided image completion with perceptual grouping (BMVC 2021 publication)
Contour-guided Image Completion with Perceptual Grouping Authors Morteza Rezanejad*, Sidharth Gupta*, Chandra Gummaluru, Ryan Marten, John Wilder, Mic
PoolFormer: MetaFormer is Actually What You Need for Vision
PoolFormer: MetaFormer is Actually What You Need for Vision (arXiv) This is a PyTorch implementation of PoolFormer proposed by our paper "MetaFormer i
ImageNet Adversarial Image Evaluation
ImageNet Adversarial Image Evaluation This repository contains the code and some materials used in the experimental work presented in the following pa
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
PyEMD: Fast EMD for Python PyEMD is a Python wrapper for Ofir Pele and Michael Werman's implementation of the Earth Mover's Distance that allows it to
DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders Mangal Prakash1, Alexander Krull1,2, Florian Jug2 1Authors contribut
Tensorflow 2.x implementation of Vision-Transformer model
Vision Transformer Unofficial Tensorflow 2.x implementation of the Transformer based Image Classification model proposed by the paper AN IMAGE IS WORT