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Found 6 papers, 0 papers with code
Art and the science of generative AI: A deeper dive
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation.
Learning to See: You Are What You See
The exploration of these representations acts as a metaphor for the process of developing a visual understanding and/or visual vocabulary of the world.
Deep Meditations: Controlled navigation of latent space
We introduce a method which allows users to creatively explore and navigate the vast latent spaces of deep generative models.
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.
Real-time interactive sequence generation and control with Recurrent Neural Network ensembles
Recurrent Neural Networks (RNN), particularly Long Short Term Memory (LSTM) RNNs, are a popular and very successful method for learning and generating sequences.
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
We investigate a human-machine collaborative drawing environment in which an autonomous agent sketches images while optionally allowing a user to directly influence the agent's trajectory.
