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GitHub topics: upsample

HasnainRaz/Fast-SRGAN

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Language: Python - Size: 4.47 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 685 - Forks: 118

Snigdho8869/AI-Generative-Models-Notebooks-DCGAN-VAE-Autoencoder

This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Zeyu-Zhu/PGCU

[CVPR'23] Probability-based Global Cross-modal Upsampling for Pansharpening

Language: Python - Size: 9.53 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 45 - Forks: 5

yoyolicoris/kazane

Simple sinc interpolation in PyTorch.

Language: Python - Size: 46.9 KB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0

dmooney65/node-libsamplerate

Native bindings to libsamplerate

Language: JavaScript - Size: 31.3 KB - Last synced at: about 20 hours ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 9

Kikumu/DCGAN-with-facedata

This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.

Language: Jupyter Notebook - Size: 87.3 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

DeepSegment/FCN-GoogLeNet

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

Language: Python - Size: 17.3 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 46 - Forks: 26

leftthomas/CARAFE

A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”

Language: Cuda - Size: 19.8 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 13 - Forks: 3