AliaksandrSiarohin/mem-transfer

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Created almost 8 years ago
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AliaksandrSiarohin/mem-transfer

AliaksandrSiarohin

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Deep learning models for transfering image memorability

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

Jupyter Notebook

motion-cosegmentation

Reference code for "Motion-supervised Co-Part Segmentation" paper

Jupyter Notebook

video-preprocessing

monkey-net

Animating Arbitrary Objects via Deep Motion Transfer

pose-gan

cuda-gridsample-grad2

Cuda implementation for gridsample with second derivative support

pose-evaluation

Metrics for evaluation pose-guided image generation

wc-gan

Whitening and Coloring transform for GANs

BAE

Bayesian Style Generation for Enhancing Perceptual Attributes

cycle-gan

first-order-model-website

Project website for first order model

aliaksandr-siarohin-website

aliaksandr-siarohin-website

H4IG

How important is invariance in GAN?

AppliedRobotics

Repository for applied robotics course

mim-gan

vitvin_genes

Vitis vinifera pathway expansion

Jupyter Notebook

GarchModels

video_da_baseline

mem-optimization

Optimizing memorability of images using NN

sentence-compressor

Jupyter Notebook

gan

Gan implimentation in keras

eq-inv

tic-tac-toe

Jupyter Notebook

manga-color

Coloring of manga using deep learning

reflections

SHAD_ALGORITHMS

rt_simulator

Simulator of real time taskset

cv-sender

Send a cv to all emails

zwitter_metrics

This is a repository for the first asssigment in bigdatashad-2016.

SHAD_CPP