84 Repositories
Python super-resolution Libraries
Intra-Event Aware GAN with Relational Reasoning for Efficient High-Resolution Detector Simulation
IEA-GAN Training Required arguments: --outputroot: Path to the root folder where the run folder is created. --dataroot: Path to the dataset. --run-nam
This open source bot provides many services to help Bilkent university students in daily school life.
Bilkent Super Bot (Beta) A bot provides many services to help Bilkent University students in daily school life. View changelog » View Demo · Report Bu
A super effiecent OW Aim Assist / Aim Bot
OW-AimAssist A super effiecent OW Aim Assist / Aim Bot Buy me a coffee How to Run It Download the latest release from releases Open the "ow.exe" file"
Totally not a super powerful Bruteforcing library written in the extremely powerful language Python by super professional hackers.
LibruteForce (Totally not a super powerful Bruteforcing library written in the very popular Python programming language by super professional hackers.
Address Resolution Protocol (ARP) is a protocol that enables network communications to reach a specific device on the network.
Address Resolution Protocol (ARP) is a protocol that enables network communications to reach a specific device on the network. ARP translates Internet Protocol (IP) addresses to a Media Access Control (MAC) address, and vice versa. Most commonly, devices use ARP to contact the router or gateway that enables them to connect to the Internet.
Zappa makes it super easy to build and deploy server-less, event-driven Python applications on AWS Lambda + API Gateway.
Zappa makes it super easy to build and deploy server-less, event-driven Python applications on AWS Lambda + API Gateway. Think of it as serverless web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments!
cand is a fast and super useful daemon for decoding and encoding CAN messages.
CANd cand (pronounced candy) is the solution to your CAN send/receieve/decode/encode woes. cand listens to and decodes CAN messages with a provided DB
Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment (CVPRW 2022) BSRT, the winner of the NTIRE 2022 Burs
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
HR-VITON — Official PyTorch Implementation High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions Sangyun Lee*1, Gyojung Gu
Official Github repository for the CVPR 2022 paper "GIRAFFE HD: A High-Resolution 3D-aware Generative Model"
GIRAFFE HD: A High-Resolution 3D-aware Generative Model Project Page Paper Usage Create and activate conda environment 'giraffehd': conda env create -
A super simple dialogue system for Python.
📝 Dialogos A super simple dialogue system for Python. It's nothing special, but that's the point! It's something that just works. This library is ide
A small GUI application to download the highest resolution audio/video stream from a given youtube link
A small GUI application to download the highest resolution audio/video stream from a given youtube link - as a creator of audio based intellectual property, the name is tongue in cheek humour
It is the latest face and eye detection method that runs at an amazing 60 FPS with an HD resolution.
It is the latest face and eye detection method that runs at an amazing 60 FPS with an HD resolution. This is a lightweight model provided by google so it runs on CPU and mobile devices as well.
Super simple py logging module to log your errors.
OphanimLog Simple Python module to log your stuff Install The module uses colorama to display automatic logs, which are logs created automatically on
PyTorch implements `Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization` paper.
MSRN-PyTorch Overview This repository contains an op-for-op PyTorch reimplementation of Multi-scale Residual Network for Image Super-Resolution . Tabl
A Super Fast and Powerful Telegram bot for streaming music on telegram videochats, Powered by PyTgCalls and Pyrogram
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Easy to use and open-source stealer that's super effective.
⚠️ Still in development: Please make an issue if there is a bug Empyrean Easy to use and open-source stealer that's super effective Features 🟩 Discor
🦊💙 Easy To Use And Source Stealer 12 Seed Phrase Metamask & TrustWallet That's Super Effective , Bypass Antivirus
Stealer-Wallet 🦊 💙 Easy To Use And Source Stealer 12 Seed Phrase Metamask & TrustWallet That's Super Effective , Bypass Antivirus Telegram: @Kixx007
Super powerful DDoS tool, use At your own risk ⚠️
HostUnreachable Super powerful DDoS tool, use At your own risk ⚠️ Getting started python3 Hostunrechable.py Update project: ./update.sh Notice This
Super resolution with Real-ESRGAN
[Abstract] Requirements - pip3 install pytorch - pip3 install imgaug - pip3 install tensorboard - pip3 install scipy - pip3 install opencv-python Trai
Distributed background task queue for Python backed by Redis, a super minimal Celery
WakaQ Distributed background task queue for Python backed by Redis, a super minimal Celery. Features Queue priority Delayed tasks (run tasks after a t
AI Upscaler for Blender using Real-ESRGAN
AI Upscaler for Blender Blender add-on to dramatically reduce render times using the Real-ESRGAN upscaler. Rendering an HD image in Blender takes 37 m
[AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution
![[AIM & ECCVW 2022] Fast Nearest Convolution for Real-Time Image Super-Resolution](https://github.com/Algolzw/NCNet/raw/main/figs/ts.png)
Fast Nearest Convolution for Real-Time Image Super-Resolution, AIM & ECCV Workshops 2022 Update [2022.08.25] We have uploaded the pretrained model in
[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
![[ECCV2022] RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation](https://github.com/hmhemu/RA-Depth/raw/main/assets/pipeline.png)
RA-Depth This repo is for RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation (arxiv), ECCV2022 If you think it is a useful work,
This is the old Super-Mario game that our parents used to play as a child. This game is by far my most complex Python Project ever!
This Super-Mario game is created and licensed by- Ayaan Hashmi Mayoor School Noida India Running $ pip install -r requirements.txt $ python main.py St
Code for ECML PKDD 2022 paper. No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Objects.
This repository contains the models and the evaluation scripts of the ECML PKDD'22 paper: No More Strided Convolutions or Pooling: A New CNN Building
This repository is an attempt at implementing the paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network using PyTorch.
ESPCN This repository is implementation of the "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Ne
[ACM MM 2022] NeRF-SR: High-Quality Neural Radiance Fields using Supersampling
NeRF-SR: High-Quality Neural Radiance Fields using Supersampling This is the official implementation of our ACM MM 2022 paper NeRF-SR: High-Quality Ne
Winner of runtime track in NTIRE 2022 challenge on Efficient Super-Resolution
Residual Local Feature Network Our team (ByteESR) won the first place in Runtime Track (Main Track) and the second place in Overall Performance Track
Easy to use and open-source stealer that's super effective
Features 🟩 Discord tokens + In depth information 🟩 System information 🟩 Browser data from Google Chrome, Microsoft Edge, and Brave Browser (passwor
[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
![[ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution](https://github.com/researchmm/FTVSR/raw/main/fig/intro.png)
FTVSR (ECCV 2022) This is the official PyTorch implementation of the paper Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Re
Reference-based Image Super-Resolution with Deformable Attention Transformer
Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV 2022) Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV 2022. [ Official ]
SRPO [Official Code] Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. (Paper Link) By Jinjin
PyTorch implementation of neural end-to-end coreference resolution systems
Coreference Resolution Systems: PyTorch Implementation Pytorch implementation of the independent model with BERT and SpanBERT proposed in BERT for Cor
A Super Fast and Powerful Telegram bot for streaming music on telegram videochats, Powered by PyTgCalls and Pyrogram
─────「 ✨ ғᴀʟʟᴇɴ ✘ ᴍᴜsɪᴄ ✨ 」───── ᴛʜᴇ ᴍᴏsᴛ ғᴀsᴛ ᴀɴᴅ ᴩᴏᴡᴇʀғᴜʟ ᴍᴜsɪᴄ ᴩʟᴀʏᴇʀ ʙᴏᴛ ━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━ 𝗗𝗘𝗣𝗟𝗢𝗬𝗠𝗘𝗡𝗧 𝗠𝗘𝗧𝗛𝗢
Open Shop Scheduling Problem resolution via Ant Colony Optimization algorithm.
Open Shop Scheduling Problem via Ant Colony Optimization Open-shop scheduling or open-shop scheduling problem (OSSP) is an optimization problem in com
Project Robocock is a versatile fully automated high-resolution interior photogrammetry solution.
Robot Package Template This is a GitHub template. You can make your own copy by clicking the green "Use this template" button. It is recommended that
[ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
![[ECCV 2022] Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations](https://github.com/cszhilu1998/SelfDZSR/raw/master/introduction.png)
SelfDZSR (ECCV 2022) PyTorch implementation of Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations 1. Framework Ove
Towards Interpretable Video Super-Resolution via Alternating Optimization
Towards Interpretable Video Super-Resolution via Alternating Optimization (ECCV 2022) Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang,
Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".
[ECCV 2022] D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution Youwei Li$^1$, Haibin Huang$^2$, Lanpeng Jia$^1$, Haoqi
CADyQ: ContentsAware Dynamic Quantization for Image Super Resolution (ECCV 2022)
CADyQ : Content-Aware Dynamic Quantization for Image Super Resolution This respository is the official implementation of our ECCV2022 paper. The overv
Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization (ECCV 22)
DCCF: Deep Comprehensible Color Filter Learning Framework This is the official repository for our paper: DCCF: Deep Comprehensible Color Filter Learni
An efficient Group Skip-Connecting Network for image super-resolution
GSCN-KBS2021 An efficient Group Skip-Connecting Network for image super-resolution. Our codes ae based on EDSR, More training or testing details can b
Super simple command line utility for waking hosts over a local network.
Wake On Lan A Simple command line utiltiy for waking hosts on a local network. Wakeonlan is written in python and can be installed using pip. Installa
Adaptive Patch Exiting for Scalable Single Image Super-Resolution" (ECCV2022 Oral)
Adaptive Patch Exiting for Scalable Single Image Super-Resolution (ECCV2022 Oral) This repository is an official PyTorch implementation of the paper "
Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution
SPLUT Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution The folder training_testing_code c
Multi-Curve Translator for High-Resolution Photorealistic Image Translation
Multi-Curve Translator for High-Resolution Photorealistic Image Translation Multi-Curve Translator (MCT) is a plug-in module that enables some photore
This is the official release of LEVIR-Ship, which is a dataset for tiny ship detection under medium-resolution remote sensing images
LEVIR-Ship: A Large-Scale Tiny Ship Detection Dataset under Medium-Resolution Remote Sensing Images Share us a ⭐ if this repo does help This is the of
High-Resolution Image/Video Harmonization [ECCV 2022]
![High-Resolution Image/Video Harmonization [ECCV 2022]](https://github.com/ZHKKKe/Harmonizer/raw/master/doc/gif/harmonizer.gif)
Harmonizer: High-Resolution Image/Video Harmonization Harmonizer: Learning to Perform White-Box Image and Video Harmonization (ECCV 2022) Paper | Demo
A Simple Telegram bot for get High Resolution Photos from the Most Powerfull Photo Search Engine in the World; Unsplash 📸
UnsplashBot Bot Usage Command Description /start Start the bot. /photo | /image | /search Query Search photos on Unsplash. /random | /rand Get ran
An official PyTorch implementation of the paper "Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation"
This repository is an official PyTorch implementation of the paper Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation. (ACM MM 2021)
A Super Fast and Powerful Telegram bot for streaming music on telegram videochats, Powered by PyTgCalls and Pyrogram !!
💜 𝗠𝟴𝗡 𝗠𝘂𝘀𝗶𝗰 𝟮.𝟬 ✨ 🗒️ Requirements FFmpeg NodeJS nodesource.com Python 3.7 or higher PyTgCalls 🌟 Features Yt-dL Fix Updated Plug-in Super
Real-Time Video Super-Resolution on Mobile
Real-Time Video Super-Resolution on Mobile Overview [Challenge Website] [Workshop Website] This repository provides the implementation of the baseline
This is the official PyTorch implementation of TBSR. Our team received 2nd place (real data track) and 3rd place (synthetic track) in NTIRE 2022 Burst Super-Resolution Challenge (CVPRW 2022).
Transformer for Burst Image Super-Resolution (TBSR) This is the official PyTorch implementation of TBSR. Our team received 2nd place (real data track)
A global data-driven high-resolution weather model
Global Data-driven High-resolution Weather Model 简体中文 | English 本项目在幻方萤火超算集群上用 PyTorch 实现并优化了 FourCastNet 全球AI气象预报模型，首次使得AI气象模型能够与欧洲中期天气预报中心（ECMWF）的传统
A large-scale dataset for stereo matching of high-resolution satellite imagery
WHU-Stereo This repository contains: I. A large-scale dataset named WHU-Stereo for stereo matching of high-resolution satellite imagery. II. Several d
[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution
![[CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution](https://github.com/researchmm/TTVSR/raw/main/fig/teaser_TTVSR.png)
TTVSR (CVPR2022, Oral) This is the official PyTorch implementation of the paper Learning Trajectory-Aware Transformer for Video Super-Resolution. Cont
Object Database for Super Mario Galaxy 1/2.
Super Mario Galaxy Object Database Welcome to the public object database for Super Mario Galaxy and Super Mario Galaxy 2. Here, we document all object
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
PointStack This repository provides the official PyTorch implementation for the following paper: Advanced Feature Learning on Point Clouds using Multi
Lightweight Image Super-Resolution with Multi-Scale Feature Interaction Network (ICME 2021)
MSFIN：Lightweight Image Super-Resolution with Multi-Scale Feature Interaction Network This repository is an official PyTorch implementation of the pap
This is an official PyTorch implementation of our IJCAI-ECAI 2022 paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation Introduction This is an official PyTorch implementation of our IJCAI
PyTorch implements `Densely Residual Laplacian Super-Resolution`
DRLN-PyTorch Overview This repository contains an op-for-op PyTorch reimplementation of Densely Residual Laplacian Super-Resolution. Table of contents
Super Irudi, a command line based tool to enhance photographs.
Super Irudi Super Irudi is a command line based tool which aims to help automating some common tasks for enhancing photographs. In case you're curious
MPPM (Multi Purpose Package Manager) is a super lightweight package manager that strives for being easy to use while still being as versatile as needed.
MPPM MPPM (Multi Purpose Package Manager) is a super lightweight package manager that strives for being easy to use while still being as versatile as
Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
Coreferee Author: Richard Paul Hudson, Explosion AI 1. Introduction 1.1 The basic idea 1.2 Getting started 1.2.1 English 1.2.2 French 1.2.3 German 1.2
Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"
BasicVSR_PlusPlus (CVPR 2022) [Paper] [Project Page] [Code] This is the official repository for BasicVSR++. Please feel free to raise issue related to
Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022
LDL Paper | Supplementary Material Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution Jie Liang*, Hu
Image/video upscaling GUI app based on BRSGAN & RealSR_JPEG
QualityScaler Image/video upscaling & enhancement GUI app based on BRSGAN & RealSR_JPEG Credits. BSRGAN - https://github.com/cszn/BSRGAN | https://arx
Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution'
DASR Paper Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution Jie Liang, Hui Zeng, and Lei Zhang. In arxiv preprint. Abs
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution (CVPR2022)
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution (CVPR2022) https://arxiv.org/abs/2203.09388 Jianqi Ma, Zheto
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
Deep Constrained Least Squares for Blind Image Super-Resolution [Paper] This is the official implementation of 'Deep Constrained Least Squares for Bli
(CVPR2022) Reflash Dropout in Image Super-Resolution
Reflash-Dropout-in-Image-Super-Resolution (CVPR2022) Reflash Dropout in Image Super-Resolution Paper link: https://arxiv.org/pdf/2112.12089.pdf Depend
A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.
SimpleIR A simple framework for image restoration, including training, testing and deploying. Docs and more features will come soon! Citation If Simpl
Terminal Based Notes Utility! Super simple terminal note application
TBNU Terminal Based Notes Utility! TBNU is a super easy to use notes program. Takes no time to set up and has simple use. Features Write down whatever
This is the source code of the 7th place solution for stereo image super resolution task in 2022 CVPR NTIRE challenge.
Swin-iPASSR This is the source code of the 7th place solution for stereo image super resolution task in 2022 CVPR NTIRE challenge (Team Name: No War).
PyTorch implements `Blind Super-Resolution With Iterative Kernel Correction` paper.
SFTMD-PyTorch Overview This repository contains an op-for-op PyTorch reimplementation of Blind Super-Resolution With Iterative Kernel Correction. Tabl
Discord self.token account hosting and mass reporter python
Discord-Report-Spammer Created By: Altify Use: Python and emulated discord user tokens to create reports on a user Developer's Request: If you downloa
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
BayeSR The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" which has been accepted by IEEE Transac
Use vitis-ai to optimize ESPCN and deploy it
Real-Time Video Super-Resolution Application on VCK5000 Overview This repository is used to submit the Adaptive Computing Challenge 2021 with Xilinx.
The method for Ntire 2022 Efficient Super-Resolution Challenge
RFESR Code for our method Residual Feature Extraction Network for Ntire 2022 Efficient Super-Resolution Challenge The model files are uploaded! We use
A multi-lingual approach to AllenNLP CoReference Resolution using along with a wrapper for spaCy.
Crosslingual Coreference Coreference is amazing but the data required for training a model is very scarce. In our case, the available training for non
Implementation of our paper "Super-resolution with adversarial loss on the feature maps of the generated high-resolution image" (IET Electronics Letters 2022)
Adversarial Feature Maps Super Resolution This repository is the Implementation of our paper: Imanuel, I. and Lee, S. (2022), Super-resolution with ad
A super fast & customisable port scanner, based on Masscan & NMap
A super fast & customisable port scanner, based on Masscan & NMap. Scan huge networks and use NMap's scripting abilities to discover information about services. Generate simple report.
A super Pythob DDOS tool made by UltraTechZ
Ultra DDOS v2 This is the second version of a Python-based DDOS tool made by UltraTechZ. The GUI was coded by WalesWorksLtd. The tool is highly sugges