IKC: Blind Super-Resolution With Iterative Kernel Correction
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Updated
Mar 14, 2023 - Python
IKC: Blind Super-Resolution With Iterative Kernel Correction
ESRGAN
A PyTorch implementation of ESRGAN. Additionally, a weight file trained for 200 epochs will be provided.
This is the repository of the code related to Ruben Moyas's MSc in Data Science Master's Thesis.
Unofficial implementation of NCNet using flax and jax
Python implementation for Mean Shift Super Resolution algorithm for images in 3 dimensions .
Unsupervised Spectral Reconstruction from RGB images under Dual Lighting Conditions
動漫插畫放大/降噪
An Accurate Extraction of Facial Meta-Information Using Selective Super Resolution from Crowd Images
Implementation of the paper "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data." 🖼️
Machine Learning - Super Resolution
Accurate Image Super-Resolution Using Very Deep Convolutional Networks (a.k.a VDSR) implementation using TensorFlow
Super Resolution
A flow to compile ESPCN (super resolution) using TVM and run the compiled model on CPU to calculate PSNR
Pytorch Implementation of various experiments and proposed improvements to the state-of-the-art image super resolution model ESRGAN.
Batch Image Processor (rescale, randomly distribute, redistribute, convert format, etc.) for some research needs
긴빠이된 QualityScaler- image/video AI upscaler app (BSRGAN)
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