3 papers
cs.CV2021
Scalable Font Reconstruction with Dual Latent Manifolds
Nikita Srivatsan, Si Wu, Jonathan T. Barron +1
We propose a deep generative model that performs typography analysis and font reconstruction by learning disentangled manifolds of both font style and character shape. Our approach…
cs.CV2021
Neural Representation Learning for Scribal Hands of Linear B
Nikita Srivatsan, Jason Vega, Christina Skelton +1
In this work, we present an investigation into the use of neural feature extraction in performing scribal hand analysis of the Linear B writing system. While prior work has demonst…
cs.LG2019
A Deep Factorization of Style and Structure in Fonts
Nikita Srivatsan, Jonathan T. Barron, Dan Klein +1
We propose a deep factorization model for typographic analysis that disentangles content from style. Specifically, a variational inference procedure factors each training glyph int…