Table 1 Comparative analysis of key NST methods, recent advancements in flexibility and style fidelity.

From: Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks

Method

Computational efficiency

Style fidelity

Content preservation

Flexibility (multiple styles)

Mardani et al.21

Low

High

Moderate

Low

Johnson et al.8

Moderate (real-time)

High (single style)

Moderate

Low

Kim and Lee22

High (real-time)

Moderate

Moderate

High

Hong et al.23

Moderate to low (attention)

High

High

High

Zhang et al.24

Low

Very high

Very high

High