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Found 7 papers, 2 papers with code
Unsupervised Lead Sheet Generation via Semantic Compression
Lead sheets have become commonplace in generative music research, being used as an initial compressed representation for downstream tasks like multitrack music generation and automatic arrangement.
Alt-Text with Context: Improving Accessibility for Images on Twitter
In this work we present an approach for generating alternative text (or alt-text) descriptions for images shared on social media, specifically Twitter.
Checklist Models for Improved Output Fluency in Piano Fingering Prediction
In this work we present a new approach for the task of predicting fingerings for piano music.
Scalable Font Reconstruction with Dual Latent Manifolds
We propose a deep generative model that performs typography analysis and font reconstruction by learning disentangled manifolds of both font style and character shape.
Neural Representation Learning for Scribal Hands of Linear B
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.
A Deep Factorization of Style and Structure in Fonts
We propose a deep factorization model for typographic analysis that disentangles content from style.
Modeling Online Discourse with Coupled Distributed Topics
In this paper, we propose a deep, globally normalized topic model that incorporates structural relationships connecting documents in socially generated corpora, such as online forums.
