Emotions and smell are underrepresented in digital art history. In this exploratory work, we show that recognising emotions from smell-related artworks is technically feasible but has room for improvement. Using style transfer and hyperparameter optimization we achieve a minor performance boost and open up the field for future extensions.

翻译：情感与气味在数字艺术史中的研究尚不充分。在这项探索性工作中，我们证明了从气味相关艺术作品中识别情感在技术上是可行的，但仍有改进空间。通过使用风格迁移和超参数优化，我们实现了小幅性能提升，并为该领域的未来扩展开辟了道路。