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Search results for reconstruction autoencoder
autoencoder
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reconstruction
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33 search results found
Face Aging Caae
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497
Age Progression/Regression by Conditional Adversarial Autoencoder
Pointnet Autoencoder
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230
Autoencoder for Point Clouds
Singleviewreconstruction
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159
Official Code: 3D Scene Reconstruction from a Single Viewport
Deep_image_prior
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146
Image reconstruction done with untrained neural networks.
Cnn Vae
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86
Variational Autoencoder (VAE) with perception loss implementation in pytorch
Video_predict
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75
LSTM sequence modeling of video data
Hand Reconstruction
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66
Single Image 3D Hand Reconstruction with Mesh Convolutions
Adversarial Autoencoder
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57
An adversarial autoencoder implementation in pytorch
Vcmeshconv
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56
Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher precision than traditional methods, they remain unable to capture fine-grained deformations. Furthermore, these methods can only be applied to a template-specific surface mesh, and is not applicable to more general meshes, like tetrahedrons and non-manifold meshes. While more general graph convolution methods can be empl
Vae Pytorch
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46
AE and VAE Playground in PyTorch
3d Object Reconstruction From Multi View Monocular Rgb Images
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36
Hybrid Ensemble Approach For 3D Object Reconstruction from Multi-View Monocular RGB images
Hello_nn
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28
Some of my simple neural networks
Tensorflow Autoencoders
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27
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
Nn For Missing Marker Reconstruction
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25
This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"
Scae Pytorch
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20
Stacked Capsule Autoencoders (SCAE) in PyTorch and their semantic interpretation
Probabilistic_nlg
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18
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Mnist Vae
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18
Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior classification results with limited labels.
Variationalautoencoders
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17
Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
Adversarial Autoencoder
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15
Tensorflow 2.0 implementation of Adversarial Autoencoders
Dynae
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14
Transformers_unsupervised_anomaly_segmentation
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14
Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Cnn_autoencoder
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11
Use cnn autoencoder on mnist dataset
3d Cyclegans
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11
Reconstruction from sparse 3D models to dense 3D models by CycleGANs and extra autoencoder training.
Dpf Nets
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11
Flow-based generative model for 3D point clouds.
Rdae
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9
Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder
Deep Autoencoder Using Tensorflow
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9
Convolutional Autoencoder For Raw Waveform Reconstruction
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8
convolutional autoencoder for raw waveform reconstruction to replace the classic STFT, i called it as short-time AE transform (STAET)
Cosense
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7
Learning a probabilistic strategy for computational imaging sensor selection (cosense)
Ann2
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7
Artificial Neural Networks package for R
Variational Autoencoder For Novelty Detection
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6
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
Oneclassclassifier
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6
One-class classifiers for anomaly detection (outlier detection)
Chainer Adversarial Autoencoder
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6
chainer implementation of Adversarial Autoencoder
Tf Alae
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6
(Unofficial) Tensorflow implementation of Adversarial Latent Autoencoder (ALAE, Pidhorskyi et al., 2020)
Vae Mnist Coordconv
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5
Implementation of CoordConv (Convolution and Deconvolution) for a Variational Autoencoder applied to MNIST
Swapping Autoencoder Tf
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5
The unofficial tensorflow implementation of Swapping Autoencoder for Deep Image Manipulation
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1-33 of 33 search results
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