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Evaluation in Neural Style Transfer: A Review. (arXiv:2401.17109v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
The field of Neural Style Transfer (NST) has witnessed remarkable progress in
the past few years, with approaches being able to synthesize artistic and
photorealistic images and videos of exceptional quality. To evaluate such
results, a diverse landscape of evaluation methods and metrics is used,
including authors' opinions based on side-by-side comparisons, human evaluation
studies that quantify the subjective judgements of participants, and a
multitude of quantitative computational metrics which objectively assess the
different aspects of an algorithm's performance. However, …
arxiv authors cs.cv diverse evaluation images landscape metrics opinions photorealistic photorealistic images progress quality review style style transfer transfer videos