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2017 GTC San Jose

S7447 - Image Restoration with Neural Networks

Session Speakers
Session Description

We'll show how image restoration tasks, such as image denoising and demosaicking, super-resolution, and JPEG deblocking can beat the state-of-the-art methods, when performed with neural networks. In particular, we'll show that even a shallow network can produce good results when it is trained to evaluate images in the same way in which humans do, that is, when perceptual loss functions are used in training. We will also discuss strength and limitations of different perceptual loss functions.


Additional Session Information
All
Talk
Deep Learning and AI Video and Image Processing
Games Media & Entertainment Software
25 minutes
Session Schedule