Torch implementation of the VDSR-CNN Upscaling algorithm
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Updated
Feb 16, 2017 - Lua
Torch implementation of the VDSR-CNN Upscaling algorithm
Super Resolution's the images by 3x using CNN
Convolutional neural network code for colorization and up-scaling of grayscale flowers images.
Convolutional neural network code for colorization and up-scaling of grayscale flowers images.
Implementation of Anime4K in TouchDesigner.
Experimental port of Anime4K to metal
Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth
HSE University Graduation Project utility "Super Resolution" for Style Transfer image Upscaling using Pytorch
Implementation of Anime4K in Go.
An implementation of Anime4K in Python.
AI Video Processing/Upscaling With VapourSynth in Google Colab
C++ implementation of a deep learning model that upscales RGB images using a factor of 4x (i.e. 270p to 1080p). The model was pre-trained and saved using the SavedModel format in Tensorflow.
Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
Super resolution using a CNN, based on the work of the DGtal team
Anime4K implemented in C#
Tool for coloring books upscaling with simple interface
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.
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