Depth-aware Neural Style Transfer using Instance Normalization. (arXiv:2203.09242v2 [cs.CV] UPDATED)

Neural Style Transfer (NST) is concerned with the artistic stylization of
visual media. It can be described as the process of transferring the style of
an artistic image onto an ordinary photograph. Recently, a number of studies
have considered the enhancement of the depth-preserving capabilities of the NST
algorithms to address the undesired effects that occur when the input content
images include numerous objects at various depths. Our approach uses a deep
residual convolutional network with instance normalization layers that …

arxiv normalization style transfer transfer