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FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations. (arXiv:2210.03461v2 [cs.CV] UPDATED)
Nov. 15, 2022, 2:12 a.m. | Ananda Padhmanabhan Suresh, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly
cs.LG updates on arXiv.org arxiv.org
Artistic style transfer is usually performed between two images, a style
image and a content image. Recently, a model named CLIPstyler demonstrated that
a natural language description of style could replace the necessity of a
reference style image. However, their technique requires a lengthy optimisation
procedure at run-time for each query, requiring multiple forward and backward
passes through a network as well as expensive loss computations. In this work,
we create a generalised text-based style transfer network capable of stylising …
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