[HN Gopher] HyperStyle: StyleGAN Inversion with HyperNetworks fo...
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HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image
Editing
Author : Hard_Space
Score : 84 points
Date : 2021-12-01 07:25 UTC (15 hours ago)
(HTM) web link (yuval-alaluf.github.io)
(TXT) w3m dump (yuval-alaluf.github.io)
| mdrzn wrote:
| This looks really interesting, I just wish there was an easier
| way to use colab for a total novice.
| moflome wrote:
| Disclaimer, sister team but what are the friction points you
| have when using Colab?
| Mizza wrote:
| It's crazy how much research attention is going into creating
| Animorphs book covers.
| fxtentacle wrote:
| It's relatively easy* research with visually pleasing results,
| so it kind of makes sense to look into it if you have lots of
| GPUs and need to publish a paper to justify purchasing them.
|
| * = The general field of GAN, encoders, decoders and StyleGAN
| in particular has lots of working source code examples in a
| variety of languages. Plus for us humans, it is really easy to
| judge the resulting face images. And there's an abundance of
| curated data sets and pre-trained models. So this is like the
| ideal best-case scenario for doing AI research: All the
| difficult and/or expensive tasks have already been done by
| others.
| eMGm4D0zgUAVXc7 wrote:
| Are there websites where you can try such GAN-magic image editing
| conveniently online with a GUI, so without having to install
| software, needing programming knowledge or having to pay?
| songeater wrote:
| https://old.pollinations.ai/
| cabalamat wrote:
| Artbreeder (https://www.artbreeder.com/), though it's limited
| in what it can do.
| knicholes wrote:
| There's this: http://gaugan.org/gaugan2/
| Aliabid94 wrote:
| Huggingface spaces has most trending models (including all the
| GANs) accessible online, e.g.
| https://huggingface.co/spaces/nateraw/animegan-v2-for-videos
| dave_sullivan wrote:
| Not really, you need to install things, know how to program,
| and probably pay for GPU compute. Even with Colab (which is an
| ok choice if you don't own a beefy GPU; the consumer Nvidia
| cards--if you can get them--don't have enough RAM these days so
| colab seems most subsidized).
|
| The real (fatal) problem with Colab is you write a bunch of
| code that needs decent system specs and they suddenly bump you
| down to a shitty system and now your code doesn't work, even
| when you're paying their newest "Plus Plus Max" membership.
| They keep adding membership tiers and it barely works. Still
| the cheapest option.
| astrange wrote:
| Using Colab isn't that bad - you can figure it out with some
| basic Python at worst, assuming their notebook extracts faces
| automatically.
|
| I wish these tools would work with StyleGAN3; the earlier
| versions have some obvious artifacts where eyes/nose/mouth look
| 2D/"pasted on" even if the face is at an angle. Also, you can
| see in the examples here that the hair style editing is not
| good.
| ArtWomb wrote:
| If StyleGAN3 is just StyleGAN with anti-aliasing, I feel
| there should be post-processing effect pass to smooth
| discontinuities. Lots of commercial 2D image filters in the
| wild exhibit pixel artifacts. And a simple averaging blur is
| enough to compensate. I wonder if there is something
| equivalent ;)
| astrange wrote:
| It is anti-aliased StyleGAN, but the anti-aliasing happens
| in the latent space inside the network (on concepts rather
| than pixels, sort of.)
|
| I forget how it works exactly, but it causes the image to
| look more like it's made of flat textures.
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(page generated 2021-12-01 23:03 UTC)