Browsing NPAR2017 by Subject "depth"
Now showing items 1-1 of 1
-
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 ...