no code implementations • 14 Jun 2023 • Gianluca Berardi, Yulia Gryaditskaya
We believe that our work will have a significant impact on research in the sketch domain, providing insights and guidance on how to adopt large pretrained models as perceptual losses.
1 code implementation • 10 Jun 2022 • Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
In particular, we show that it is possible to use representation learning to learn a fixed-size, low-dimensional embedding space of trained deep models and that such space can be explored by interpolation or optimization to attain ready-to-use models.