NVIDIA teamed up with researchers from Finland's Aalto University and MIT to teach an old AI a new trick. Their neural network can now fix grainy or pixelated images in your photo library just by looking at them. AIs have been able to do similar work for a while, but typically it required both a so-called noisy image (grainy, pixelated) and a noise-free one in order for the AI to learn how to make up the difference and clean up the photo. This new method, which is being presented at the International Conference on Machine Learning in Stockholm this week (assuming my invitation was lost in the mail?), no longer requires a noise-free image for the AI to remove artifacts, noise, grain, and automatically enhance your photos. Using deep-learning work, the AI can look at those so-called noisy images and make them clear even without looking at a clean image first.

What if you could take your photos that were originally taken in low light and automatically remove the noise and artifacts? Have grainy or pixelated images in your photo library and want to fix them? This deep learning-based approach has learned to fix photos by simply looking at examples of corrupted photos only. The work was developed by researchers from NVIDIA, Aalto University, and MIT, and is being presented at the International Conference on Machine Learning in Stockholm, Sweden this week. 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.