SUper REsolution MEthods
☆137Apr 12, 2021Updated 4 years ago
Alternatives and similar repositories for supreme
Users that are interested in supreme are comparing it to the libraries listed below
Sorting:
- Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.☆113Oct 19, 2019Updated 6 years ago
- Decoders for weather sensor data from RTL SDR.☆18Apr 27, 2025Updated 10 months ago
- Exposes the JS objects directly in Python. Transparent layer that allows JS to communicate to Python and vise-versa☆13Mar 2, 2015Updated 11 years ago
- single image super resolution algorithm implementation☆36Jun 20, 2016Updated 9 years ago
- SRCNN - Super-resolution using convolutional neural networks. Uses OpenCL to execute on the GPU.☆29Nov 15, 2015Updated 10 years ago
- Harvest self-signed certs from Project Sonar Internet-wide scan files and have a look around.☆10Mar 22, 2017Updated 8 years ago
- The Smart Recruit hackathon on AnalyticsVidhya☆17Aug 3, 2016Updated 9 years ago
- A generic homebridge module that allows for URLs to be triggered for most actions☆12Feb 20, 2017Updated 9 years ago
- This is an algorithm about how to get super-resolution image from a single image, which is described in the paper "Glasner, Bagon, Irani …☆18Aug 22, 2015Updated 10 years ago
- modular implementation of new algorithm☆13Jun 4, 2014Updated 11 years ago
- Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)☆15Sep 20, 2015Updated 10 years ago
- ☆17Feb 6, 2025Updated last year
- A small tool to help transfer some appearance data from one character to another.☆17Dec 6, 2018Updated 7 years ago
- Faster access to Tesseract-OCR from Python