Super Resolution of low resolution Images in PyTorch
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Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
Super Resolution using Bayesian CNN
An implementation of MemNet: A Persistent Memory Network for Image Restoration, ICCV2017
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Represent...
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: S...
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
Exploration of Self-Semi-Supervised learning for handling unlabeled data
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
Synthesizing and manipulating 2048x1024 images with conditional GANs
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemen...
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Code for "Deep Attention Super-Resolution of Brain Magnetic Resonance Images Acquired Under Clini...
Open-source Library of Image Super-Resolution Models, Datasets, and Metrics for Benchmarking or P...