super-resolution topic

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

kozistr

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generati...

open-mmlab

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

JiahuiYu

Converted CoreML Model Zoo.

john-rocky

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

weiji14

Awesome GAN for Medical Imaging

xinario

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

cszn

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

HasnainRaz

A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ide...

microsoft

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)

hellloxiaotian

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

XPixelGroup