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2015-siims-wasserstein-dual

Reproduce the results of the paper "A Smoothed Dual Approach for Variational Wasserstein Problems"

2016-icml-gromov-wasserstein

Matlab code to reproduce the results of the paper "Gromov-Wasserstein Averaging of Kernel and Distance Matrices".

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

3dmm_edges

Matlab implementation of algorithm for fitting 3D Morphable Model to images using edge features

3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ali

Adversarially Learned Inference

attr2img

Torch implementing of attribute2image project

autoencoders

Torch implementations of various types of autoencoders

autograd

Efficiently computes derivatives of numpy code.

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

bfmlandmarks

68/21 Landmark points for Basel Face Model (3DMM)

bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

caffe2

Caffe2 is a cross-platform framework made with expression, speed, and modularity in mind.

capsnet

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cat-generator

Generate cat images with neural networks

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cmr

Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections

cnngeometric_pytorch

CNNGeometric PyTorch implementation

cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

cogan

context-encoder

Unsupervised Feature Learning by Image Inpainting

cppn-gan-vae-tensorflow

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

cvip-matlab

Computer Vision and Image Processing functions and scripts

cyclegan

Unpaired image-to-image translation for painting->photo, horse->zebra, style transfer and more (from UC Berkeley)

dataload

A collection of Torch dataset loaders

dc-ign

The Deep Convolutional Inverse Graphics Network

dcgan_code

Deep Convolutional Generative Adversarial Networks

deconvfaces

Generating faces with deconvolution networks