Deep image prior 'learns' on just one image
dmitryulyanov.github.io
Deep image prior 'learns' on just one image
1–10 of 235 posts
Re: Deep image prior 'learns' on just one image
#2Re: Deep image prior 'learns' on just one image
#3i find it impressive how it placed a lamp over the library window. After that i was expecting a vase with flowers to be placed on the table in the next, palace shot :)
Re: Deep image prior 'learns' on just one image
#4Wow, so just the weight sharing architecture does so much already? I am wondering if the same could be done with LSTMs on sequences or CNNs on voice...
Re: Deep image prior 'learns' on just one image
#5Red Dwarf - "Uncrop" - http://www.dailymotion.com/video/x2qlmuy
Re: Deep image prior 'learns' on just one image
#6Some of these image restoration techniques are extremely impressive, but its odd to think how much visual history will be faked in tiny ways if these "fix" techniques become widespread in commonly used photo software.
I suppose this is no different really than the extent to which images are edited anyway now, in that many images are never really a fastidiously accurate representation of the original scene, but interesting to consider none the less.
Re: Deep image prior 'learns' on just one image
#7Cool but I think a learned method is more interesting, especially how it can be used for image compression.
Re: Deep image prior 'learns' on just one image
#8This is amazing.
Re: Deep image prior 'learns' on just one image
#9An interesting question this raises is--what determines when the training has overfitted to the noise/error in the input image? If that's another NN that provides a perceptual model of quality, how was it trained? ;)
Re: Deep image prior 'learns' on just one image
#10How can it possibly know what was in the white areas of the library? Is there a residual image?
Seems impossible that it guesses correctly.