image_invert

Image invert : 'Understanding Deep Image Representations by Inverting Them'

A simple implementation of 'Understanding Deep Image Representations by Inverting Them' , to see what it does!

• Omitted 'natural image prior of training dataset' ( means that did not used 'sigma' in the paper )
• Only L2 and Total Variation losses are used.
• Roughly set TV loss ratio to 5e-7

Download vgg19 pre-trained : http://www.vlfeat.org/matconvnet/models/beta16/imagenet-vgg-verydeep-19.mat

vgg.py is borrowed from 'https://github.com/anishathalye/neural-style'

Test results from 'conv5_1' :

< Input Image >

< L2 Loss only >

< L2 and TV loss >