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"
-
Updated
Nov 4, 2019 - Python
#
superresolution
Here are 52 public repositories matching this topic...
Super Resolution datasets and models in Pytorch
-
Updated
Dec 23, 2023 - Python
MoePhoto Image Toolbox萌图工具箱
-
Updated
Sep 23, 2024 - Python
A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.
-
Updated
Oct 29, 2020 - Python
Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)
-
Updated
Dec 9, 2024 - Python
[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
-
Updated
Mar 16, 2022 - Python
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
video video-processing super-resolution image-restoration restoration deblurring denoising superresolution video-super-resolution video-enhancement video-denoising video-deblurring deraining neurips video-restoration desnowing video-desnowing video-deraining neurips-2024
-
Updated
Jan 14, 2025 - Python
Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
-
Updated
Dec 18, 2016 - Python
Tensorflow with Image Super-Resolution Using Dense Skip Connections , color
-
Updated
Jan 10, 2018 - Python
ComfyUI unofficial implementation of InvSR (Arbitrary-steps Image Super-resolution via Diffusion Inversion)
-
Updated
Jan 31, 2025 - Python
TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
-
Updated
Jul 6, 2019 - Python
SRGAN (super resolution generative adversarial networks) with WGAN loss function in TensorFlow
-
Updated
Nov 23, 2018 - Python
This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
-
Updated
Jun 5, 2020 - Python
Resolution Enhancement Algorithm using Deblurring by Pixel Reassignment. This repository implements cutting-edge techniques for improving image resolution and clarity by reassigning pixels to correct for blur. Ideal for microscopy, photography, image processing, and computational optics researchers.
resolution algorithm image-processing microscopy image-restoration deblurring superresolution image-enhancement resolution-algorithm resolutionenhancemnt
-
Updated
Jan 15, 2025 - Python
TensorFlow Implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
python tensorflow network information deeplearning idn superresolution distillation single-image-super-resolution cvpr2018 information-distillation-network
-
Updated
Mar 24, 2023 - Python
Implementate super resolution in deep learning
-
Updated
May 17, 2017 - Python
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
-
Updated
Sep 6, 2021 - Python
Implementation of paper Deep Back Projection Network paper
-
Updated
Jul 23, 2018 - Python
Super Resolution of low resolution Images in PyTorch
-
Updated
Dec 3, 2018 - Python
Improve this page
Add a description, image, and links to the superresolution topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the superresolution topic, visit your repo's landing page and select "manage topics."