Deep Learning at NVIDIA: AI Reconstructs Photos with Realistic Results (Image Inpainting for Irregular Holes Using Partial Convolutions)

Deep Learning at NVIDIA: AI Reconstructs Photos with Realistic Results (Image Inpainting for Irregular Holes Using Partial Convolutions)

Researchers from NVIDIA, led by Guilin Liu, introduced a state-of-the-art deep learning method that can edit images or reconstruct a corrupted image, one that has holes or is missing pixels. The method can also be used to edit images by removing content and filling in the resulting holes.
It will only get better once it has been trained well enough (and we know that nVidia doesn’t suffer from lack of GPUs!), Futuristicon is waiting for updates on potential release of this software as a stand-alone tool or a plugin of Gimp.

As one youtube user in the comment section put it, this tool really is a photoshop jujitsu.

Here are some more gems from the comment section:

 

Learn more about their research paper “Image Inpainting for Irregular Holes Using Partial Convolutions”: https://nvda.ws/2K1G243

 

We would love to hear what you have to say about this:

Subscribe for more! We will send you a mail twice a month to show you what we got!

You have successfully subscribed to the newsletter

There was an error while trying to send your request. Please try again.

We hate spam! Futuristicon will only use the information you provide on this form to send the latest news right to your inbox!
%d bloggers like this: