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Found 3 papers, 1 papers with code
Network Bending: Expressive Manipulation of Deep Generative Models
This results in the meaningful manipulation of sets of features that correspond to the generation of a broad array of semantically significant features of the generated images.
Amplifying The Uncanny
Deep neural networks have become remarkably good at producing realistic deepfakes, images of people that (to the untrained eye) are indistinguishable from real images.
Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities.
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