Aug. 1, 2022, 1:12 a.m. | Winfried Lötzsch, Max Reimann, Martin Büssemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp

cs.CV updates on arXiv.org arxiv.org

Image-based artistic rendering can synthesize a variety of expressive styles
using algorithmic image filtering. In contrast to deep learning-based methods,
these heuristics-based filtering techniques can operate on high-resolution
images, are interpretable, and can be parameterized according to various design
aspects. However, adapting or extending these techniques to produce new styles
is often a tedious and error-prone task that requires expert knowledge. We
propose a new paradigm to alleviate this problem: implementing algorithmic
image filtering techniques as differentiable operations that can …

arxiv cv example image learning

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