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Enhancing design inspiration through AI-driven keyword suggestions and image captioning
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Resumo(s)
This thesis explores AI's potential in enhancing design creativity, focusing on a machine
learning platform that suggests visuals from keywords, using
OpenAI and Meta models. It learns from interactions,
encouraging exploration. Research compared image captioning
models, identifying BLIP as superior for providing accurate,
context-rich descriptions. The study shows AI's ability to bridge
the gap between abstract ideas and visuals, promote exploration
with relevant suggestions, and improve design tools with precise
descriptions, underscoring the importance of collaboration and
ongoing research in maximizing AI's impact in design.
Descrição
Palavras-chave
Image captioning Machine learning Natural language processing Keyword suggestion Text similarity