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Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 12th International C Colin Johnson,Nereida Rodríguez-Fernández,Sérgio M Conference

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SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencodersnrolled denoising autoencoders is largely independent of model type, and we utilize both transformer and convolution based architectures in this work. We demonstrate the efficacy of this approach both qualitatively and quantitatively, applying SUNMASK to generative modeling of symbolic polyphonic music, and language modeling for English text.
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Using Autoencoders to Generate Skeleton-Based Typographycan be used to generate new ones by exploring the latent space. This process also allows us to control the style of the resulting skeletons and interpolate between different characters. Finally, we developed new glyphs by filling the generated skeletons based on the original letters’ stroke width and showing some applications of the results.
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Innovation and Innovation Ecosystem,ble to steer its generative output towards generating 3x as many loopable phrases as our baseline. In a subjective listening test conducted by 31 participants, LooperGP loops achieved positive median ratings in originality, musical coherence and loop smoothness, demonstrating its potential as a performance tool.
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FTN Signaling in Fading Channels, interactively explore the space of prompts encoded by the initial blueprint and according to their preferences. Our work is a step towards a more dynamic and interactive way to generate prompts that lead to a wide variety of visual outputs, with which users can easily obtain prompts that match their goals.
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