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Commits on Feb 8, 2017

• fix path of script

  leongatys

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• download conv part only of VGG network

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• Update Readme

  leongatys

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• Merge branch 'master' of https://github.com/leongatys/NeuralImageSynthesis

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• fixed script path

  leongatys

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Commits on Dec 14, 2016

• Create README.md

  leongatys

  authored
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• added example notebooks

  leongatys

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• included model download

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• added images from Control Paper

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• untrack notebook files

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Commits on Dec 8, 2016

• added guided mse loss

  leongatys

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Commits on Oct 16, 2016

• added MeanMSE loss and MeanMSEGuided loss

  leongatys

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Commits on Oct 14, 2016

• generalised gram matrix spatial guidance

  leongatys

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Commits on Sep 26, 2016

• dont divide by 0 if the mask is all zeros

  leongatys

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Commits on Aug 24, 2016

• changed masked gram loss to make it faster and scalable

  leongatys

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• improved spatial control to make it faster and scalable

  leongatys

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Commits on Aug 23, 2016

• added reflectance padding option

  leongatys

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Commits on Aug 2, 2016

• added compute activations for dilated convolutions

  leongatys

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• add aesthetics notebook

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• implemented maximise layerwise linear direction (e.g. aesthetics predictor) from mean feature maps

  leongatys

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Commits on Aug 1, 2016

• start on aesthetic image synthesis

  leongatys

  committed
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Commits on Jul 29, 2016

• added basic ImageSynthesis notebook

  leongatys

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Commits on Jul 28, 2016

• added mask option for gradient

  leongatys

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• implemented hard spatial guidance with local gram matrices

  leongatys

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Commits on Jul 25, 2016

• added gram losslayer with dilated convolution

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Commits on Jul 24, 2016

• added fast patch search on GPU

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Commits on Jul 21, 2016

• guidance channels now passed as argument

  leongatys

  committed
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Commits on Jul 18, 2016

• added spatial guidance to gram loss

  leongatys

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Commits on Jul 12, 2016

• add grid search notebook

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Commits on Jul 8, 2016

• added tv, l1 and l2 regulariser

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• now can define loss layers on the data

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Commits on Jun 26, 2016

• save losses after optimisation

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Commits on Jun 25, 2016

• now can give multiple targets to loss functions

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Commits on Jun 24, 2016

• normalisation only by spatial dimensions

  leongatys

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• only compute activations on layers needed

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