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pro vyhledávání: '"De Guevara, Manuel Ladron"'
We introduce a novel image-to-painting method that facilitates the creation of large-scale, high-fidelity paintings with human-like quality and stylistic variation. To process large images and gain control over the painting process, we introduce a se
Externí odkaz:
http://arxiv.org/abs/2311.14271
While attention-based transformer networks achieve unparalleled success in nearly all language tasks, the large number of tokens (pixels) found in images coupled with the quadratic activation memory usage makes them prohibitive for problems in comput
Externí odkaz:
http://arxiv.org/abs/2105.14110
Autor:
de Guevara, Manuel Ladron, George, Christopher, Gupta, Akshat, Byrne, Daragh, Krishnamurti, Ramesh
Language is ambiguous; many terms and expressions can convey the same idea. This is especially true in creative practice, where ideas and design intents are highly subjective. We present a dataset, Ambiguous Descriptions of Art Images (ADARI), of con
Externí odkaz:
http://arxiv.org/abs/2007.07758
Robotic painting has been a subject of interest among both artists and roboticists since the 1970s. Researchers and interdisciplinary artists have employed various painting techniques and human-robot collaboration models to create visual mediums on c
Externí odkaz:
http://arxiv.org/abs/2007.03647