Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
Table 5: Comparison of different design choices of the proposed framework.
['Model', 'Style Score', 'Content Score']
The sharing-encoders baseline performs much better than the sharing-decoder baseline, and our full method performs the best. The results show that the style-specific decoder is more effective for generating target-style outputs. On the other hand, the style-specific encoder extracts more domain-specific style codes from the inputs. Weight-sharing schemes do not lead to a better performance.