University of Cambridge > Talks.cam > Microsoft Research Machine Learning and Perception Seminars > Beyond the Piece of Cardboard: Learning to Adjust Photographs

Beyond the Piece of Cardboard: Learning to Adjust Photographs

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Master photographers such as Ansel Adams have demonstrated that retouching pictures is critical to obtaining a stunning rendition of a picture. In traditional film photography, this involves tools such as a piece of cardboard to dodge and burn the print as well as a careful choice of chemicals and paper. This is a long and painstaking process that requires a great deal of know-how. With digital photography, we have now access to powerful options such as instant undo, unlimited layering, and sophisticated filters. However, despite these improvements, achieving a compelling look remains a challenging task. In some sense, we have made the piece of cardboard more powerful, which is great and enables a wider range of effects, but the retouching process as a whole remains mostly unassisted. In this talk, I will present my research on photographic style transfer and machine-learning-based retouching that focuses on understanding the notion of photographic look and helping users achieve a specific visual style. This work is in collaboration with Soonmin Bae, Vladimir Bychkovsky, and Fr├ędo Durand at MIT , and Eric Chan at Adobe.

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity