Machine Learning Coffee Seminar: Jaakko Lehtinen, Aalto University "Noise2Noise: Learning Image Restoration without Clean Data"

Helsinki region machine learning researchers will start our week by an exciting machine learning talk. Porridge and coffee is served at 9:00 and the talk will begin at 9:15.
Machine Learning Coffee Seminar, image: Matti Ahlgren

Noise2Noise: Learning Image Restoration without Clean Data

Jaakko Lehtinen
Professor of Computer Science, Aalto University

We apply basic statistical reasoning to signal reconstruction by machine learning–learning to map corrupted observations to clean signals–with a simple and powerful conclusion: under certain common circumstances, it is possible to learn to restore signals without ever observing clean ones, at performance close or equal to training using clean exemplars. We show applications in photographic noise removal, denoising of synthetic Monte Carlo images, and reconstruction of MRI scans from undersampled inputs, all based on only observing corrupted data. These results have significant implications for ease of training high-performance image restoration models and certain inverse problem solvers.

Joint work with Jacob Munkberg, Jon Hasselgren, Timo Aila, Tero Karras, Samuli Laine, and Miika Aittala.

See the next talks at the seminar webpage.

Please spread the news and join us for our weekly habit of beginning the week by an interesting machine learning talk!


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