Audio Super Res
Audio super resolution using neural networks
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Audio Super Res | 994 | 6 months ago | 9 | mit | Python | |||||
| Audio super resolution using neural networks | ||||||||||
| Mirnet | 436 | 2 years ago | 13 | other | Python | |||||
| [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement. | ||||||||||
| Spsr | 336 | 3 years ago | 4 | Python | ||||||
| Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021) | ||||||||||
| Carn Pytorch | 310 | 2 years ago | 18 | mit | Python | |||||
| Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018) | ||||||||||
| Edsr Tensorflow | 298 | 5 years ago | 17 | mit | Python | |||||
| Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution | ||||||||||
| Espcn | 260 | 4 years ago | Python | |||||||
| A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network" | ||||||||||
| Toflow | 245 | 4 years ago | 4 | mit | MATLAB | |||||
| TOFlow: Video Enhancement with Task-Oriented Flow | ||||||||||
| Tenet | 237 | 10 months ago | 3 | mit | Python | |||||
| [ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline | ||||||||||
| Eesrgan | 191 | a year ago | 16 | gpl-3.0 | Python | |||||
| Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network | ||||||||||
| Msrn Pytorch | 188 | 4 years ago | 2 | mit | Python | |||||
| This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018). | ||||||||||
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