Image Colorizer/Upscaler using Autoencoders
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Updated
Jul 27, 2020 - Python
Image Colorizer/Upscaler using Autoencoders
Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
This repository contains a jupyter notebook with the implementation of a simple CNN with the objective of demonstrating how these neural networks can be used for image upscaling
Algorithmic solutions to optimize inference for convolution-based image upsampling. Coded for clarity, not speed.
Telegram bot written in node typescript for GFPGAN Real-world Face Restoration tool
Run https://github.com/upscayl/upscayl on NixOS using flakes
Analysis resources for the Inter IIT Tech Meet 11.0 problem statement by ISRO: The Chandrayaan Moon Mapping Challenge
SOTA image super-resolution in JavaScript/Wasm using an ONNX-ported SwinIR model
Upscale your images using deep learning (AI) - Demo website
Colabs for Neural Image Enhancement.
Image super resolution using with Deep Convolutional Neural Networks
ai image upscaling GUI application using Real-ESRGAN
This is an ESRGAN model trained specifically for upscaling GameCube and Wii textures, but it can of course be used for other textures from that period.
Exploring super-resolution upscaling of DEM data using the 2023 GISR model.
Elevate your low-res images effortlessly with our simple Flask web app powered by AI image upscaling.
University Project for "Computer Architecture" course (MSc Computer Engineering @ University of Pisa). Implementation of a Parallelized Nearest Neighbor Upscaler using CUDA.
TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.
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