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17 search results found

All About The Gan ⭐ 602

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Samplenet ⭐ 324

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Neo 360 ⭐ 187

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

Qucumber ⭐ 163

Neural Network Many-Body Wavefunction Reconstruction

Deep Mri Reconstruction ⭐ 159

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Fastmri Reproducible Benchmark ⭐ 122

Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

Invertinggradients ⭐ 109

Algorithms to recover input data from their gradient signal through a neural network

3d Reconstruction With Neural Networks ⭐ 73

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

Mxnet E2far ⭐ 72

MXNET/Gluon Implementation of End-to-end 3D Face Reconstruction with Deep Neural Networks

Learned_gradient_tomography ⭐ 40

Solving ill-posed inverse problems using iterative deep neural networks

Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.

Dynamic Routing Capsule Cifar ⭐ 33

CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras

Direct Ranker ⭐ 33

Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

3d Object Reconstrution ⭐ 32

A curated list of awesome Single-view 3D Object Reconstruction papers & resources

Hello_nn ⭐ 28

Some of my simple neural networks

Nn For Missing Marker Reconstruction ⭐ 25

This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"

Sigmanet ⭐ 24

Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,

Fsrn Cvpr2020 ⭐ 14

This codebase implements the system described in the paper: Dynamic Fluid Surface Reconstruction Using Deep Neural Network

Robust Nets ⭐ 14

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

Cd Deep Cascade Mr Reconstruction ⭐ 12

This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.

Variable splitting network for accelerated parallel MRI reconstruction

Nn Illumination Estimation Fpm ⭐ 9

Accompanying code for the paper "Object Detection Neural Network Improves Fourier Ptychographic Reconstruction"

Capsule Net Tf ⭐ 8

A tiny implementation of Capsule Network

Ice Wacv2018 ⭐ 8

A PyTorch implementation for our WACV 2018 paper "Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction"

The training codes and some pre-trained models for my CVPR2019 paper "Scalable Convolutional Neural Network for Image Compressed Sensing".

Artificial Neural Networks package for R

Variational Autoencoder For Novelty Detection ⭐ 6

A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.

Neuralnetwork Jpeg ⭐ 6

Convolutional Neural Network (CNN) Image Compression

Computervisioncourse ⭐ 5

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