This is an Image Super Resolution model implemented in python using keras. This model comes with a GUI to allow users to make use of the model easily.
☆40Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for Image-Super-Resolution-Application
Users that are interested in Image-Super-Resolution-Application are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Super-resolves images using ESRGAN, SRCNN etc☆14Aug 5, 2019Updated 7 years ago
- Caffe implementation of "Two-Stage Convolutional Network for Image Super-Resolution" (ICPR 2018)☆10Dec 4, 2018Updated 7 years ago
- An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version☆51Jan 31, 2018Updated 8 years ago
- Composes ffmpeg, waifu2x and butterflow to enhace videos making them bigger and with a higher framerate.☆14Aug 6, 2017Updated 9 years ago
- TensorFlow implementation of very deep convolution network for image super-resolution☆13Mar 28, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- MagickCache is a secure, high-performance caching tool for images, videos, audio, and metadata. It uses memory mapping for fast access, s…☆18Updated this week
- Introduction to structured prediction with Python and pystruct☆18Jul 3, 2018Updated 8 years ago
- Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.☆30Oct 2, 2018Updated 7 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Nov 4, 2017Updated 8 years ago
- My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to hig…☆33Jul 19, 2018Updated 8 years ago
- My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)☆12May 31, 2018Updated 8 years ago
- Efficient Space-time Super Resolution using Flow and Mask Upsampling☆10Aug 29, 2021Updated 5 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Project of video synopsis☆10May 18, 2016Updated 10 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 🔥YouTube Downloader🔥 for downloading audio files 🎧, video files 🎞️, playlists of both video and audio ⏯️ at the preferred quality 📺 …☆12Oct 2, 2018Updated 7 years ago
- A List of Recent Space-Time Video Super-Resolution methods☆20Nov 27, 2021Updated 4 years ago
- Bayesian U-Net for Keras☆11Dec 28, 2019Updated 6 years ago
- A list of pytorch toolkits for CV application.☆18Jun 20, 2019Updated 7 years ago
- NNEDI3 OpenCL filter for AviSynth+.☆18Mar 7, 2026Updated 6 months ago
- ☆10Aug 10, 2018Updated 8 years ago
- This repo parallelizes mAP_evaluation using python's multiprocessing module.☆18Apr 14, 2022Updated 4 years ago
- video synopsis☆10May 28, 2014Updated 12 years ago
- TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)☆16Mar 24, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆13May 10, 2020Updated 6 years ago
- Implementation of paper Deep Back Projection Network paper☆10Jul 23, 2018Updated 8 years ago
- Implementation of Super Resolution CNN in Keras.☆837Aug 11, 2024Updated 2 years ago
- Final Project- Microscopy Cell Segmentation, Deep Learning and Applications Course, EE Dep., Ben-Gurion University☆13Jul 10, 2018Updated 8 years ago
- Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout☆14Jul 9, 2018Updated 8 years ago
- This repository contains python implementation of the paper: Super-resolution of Omnidirectional Images Using Adversarial Learning☆23Sep 13, 2019Updated 6 years ago
- high dynamic range and super resolution imaging system☆10Dec 20, 2017Updated 8 years ago
- Code for detection-based head tracking.☆14Dec 13, 2016Updated 9 years ago
- Contrast Adaptive Sharpening filter.☆15Sep 8, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A user-friendly script to use srgan for upscaling images directly inside photoshop☆11Mar 24, 2023Updated 3 years ago
- Selective Classification For Deep Neural Networks.☆11Jan 13, 2018Updated 8 years ago
- super-resolution video converter using waifu2x☆16Feb 25, 2021Updated 5 years ago
- EDSR, RCAN, SRGAN, SRFEAT, ESRGAN☆240Nov 22, 2022Updated 3 years ago
- TensorFlow implementation of SRCNN☆15Mar 24, 2023Updated 3 years ago
- Image captioning with weight pruning in PyTorch☆22Jan 14, 2022Updated 4 years ago
- Deep CCA (DCCA) network☆15Apr 12, 2016Updated 10 years ago