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Topic: "reconstructed-images"

rtflynn/Cifar-Autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Language: Python - Size: 11.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 54 - Forks: 6

khanmhmdi/Cifar-Image-Reconstruction-using-Autoencoder-Models

Cifar-10 Image Reconstruction using Auto-encoder Models

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

amobiny/Capsule_Network_Tensorflow

Capsule Network implementation in Tensorflow

Language: Python - Size: 169 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 4

estfernan/SAFARI

Shape Analysis for AI-Reconstructed Images

Language: R - Size: 134 KB - Last synced at: 7 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2

ceidas/Medical-Imaging-Project

This project was completed in 2018 as a part of my postgraduate studies in Biomedical Engineering

Language: MATLAB - Size: 4.33 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

exarchou/Multimedia-Systems

Image Encoding software in MATLAB. Quantize and Dequantize Image and using of Huffman encoding to transform Images to bitstreams according to JPEG universal standard.

Language: MATLAB - Size: 16.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

majd-alhafi/ImageReconstruction

Language: Jupyter Notebook - Size: 709 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Marcin3232/App_for_lungs_reconstruction

Language: MATLAB - Size: 44.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

kezouke/VAExperiment

Simple VAE implementation exploring KL divergence and Wasserstein metric in the loss function

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sanaznami/MTL_JND

Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.

Language: Python - Size: 95.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jhernandezga/CT_Reconstruction_LEARN_paper

Implementation of the paper LEARN: Learned Experts’ Assessment-based Reconstruction Network for Sparse-data CT Hu Chen, Yi Zhang, Yunjin Chen, et. al

Language: Python - Size: 61.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

orsher/ImageReconstruction

Using optimizations algorithms to reconstruct images from a set of basic shapes

Language: Python - Size: 664 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ebeyabraham/reconstructing-cnn-codes

Implementation of "Understanding Deep Image Representations by Inverting Them"

Language: Jupyter Notebook - Size: 359 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

atakehiro/line-registration

reconstruct the scan image to modify the slipping to horizontal direction

Language: Java - Size: 476 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

dangvansam/simple-autoencoder

Audio encoder for reconstruct, denoise image or audio spectrogram

Language: Python - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ApurbaSengupta/Reconstructing-Images

Reconstructing images using VAE

Language: Jupyter Notebook - Size: 367 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

ell-hol/RadonTransform

Reconstruction d'une image médicale par l'usage de la transformée inverse de Radon sur les données d'atténuation des radiations traversant le tissu biologique.

Size: 1.75 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Topics
autoencoder 4 image-processing 4 deep-learning 3 python 3 matlab 3 pytorch 3 medical-image-processing 2 tensorflow 2 image 2 reconstruction 2 variational-autoencoder 2 vae 2 medical-imaging 2 mnist 2 convolutional-layers 2 cifar10 2 vector-subimg 1 run-length-encoding 1 run-length 1 quantizer 1 pixels 1 jpeg 1 image-encoder 1 huffman-coding 1 decoder 1 entropy 1 dequantization 1 two-photon 1 scanning-microscopy 1 image-reconstruction 1 image-reconstructions 1 pytorch-implementation 1 imagej-plugins 1 tomography 1 snr 1 reconstruction-filters 1 ram-lak 1 medical-device 1 lsf 1 hanning-filter 1 hamming 1 esf 1 ct 1 cosine 1 computer-engineering 1 computed-tomography 1 cnr 1 biomedical-image-processing 1 biomedical-engineering 1 unsupervised-learning 1 radon-transform 1 filters 1 denoising 1 c 1 shape-analysis 1 r-package 1 r 1 ycbcr-components 1 convulational 1 video-coding 1 perceptual-quality 1 perceptual-compression 1 paper-with-code 1 multitask-learning 1 latent-space 1 just-noticeable-distortion 1 just-noticeable-difference 1 jnd 1 compressed-domain 1 shapes 1 monalisa 1 genetic-algorithm 1 sketches 1 python3 1 jupyter 1 google 1 colaboratory 1 strided-convolutions 1 neural-network 1 hidden-layers 1 convolutional-neural-networks 1 convolutional-autoencoders 1 convolutional-autoencoder 1 cifar-10 1 ai 1 wasserstein-distance 1 vae-pytorch 1 ml 1 kl-divergence 1 recontruct-image 1 recontruct-audio 1 image2image 1 autoencoders 1 autoencoder-neural-network 1 autoencoder-mnist 1 tensorboard 1 mnist-data 1 fashion-mnist 1 capsule-network 1 adversarial-attacks 1