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!), and we are waiting for updates on potential release of this software as a stand-alone tool or a plugin for Gimp or some similar photo manipulation software.

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

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