Browsing NPAR2017 by Subject "Computational photography"
Now showing items 1-2 of 2
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Depth-aware Neural Style Transfer
(Association for Computing Machinery, Inc (ACM), 2017)Neural style transfer has recently received signi cant a ention and demonstrated amazing results. An e cient solution proposed by Johnson et al. trains feed-forward convolutional neural networks by de ning and optimizing ... -
Mixed Illumination Analysis in Single Image for Interactive Color Grading
(Association for Computing Machinery, Inc (ACM), 2017)Colorists often use keying or rotoscoping tools to access and edit particular colors or parts of the scene. Although necessary, this is a time-consuming and potentially imprecise process, as it is not possible to fully ...