Impossible is a meaningless world for AI and the new research paper published by Nvidia has once again prove it correct. Nvidia has developed an AI system that could make protecting photos online much harder. This AI can automatically remove noise, grain, and even watermarks from photos.
It is created by Nvidia, along with researchers from Aalto University and the Massachusetts Institute of Technology. The researchers included in this project are Jaako Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Maittala, and Timo Aila.
“Recent deep learning work in the field has focused on training a neural network to restore images by showing example pairs of noisy and clean images,” NVIDIA write.
This AI system is powered by deep learning neural network. Researcher has trained the AI over 50,000 photos. They used Nvidia Tesla P100 GPUs with the cuDNN-accelerated TensorFlow deep learning framework, and trained their system on 50,000 images in the ImageNet validation set.
The most impressive thing about this AI is that it can teach itself to fix corrupted photos just by looking at them instead of offering it before-and-after photos with both corrupted and optimal. It only requires two corrupted images to proceed with removing noise.
“It is possible to learn to restore signals without ever observing clean ones, at performance sometime
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