{"id":8639,"date":"2023-07-21T10:55:46","date_gmt":"2023-07-21T10:55:46","guid":{"rendered":"https:\/\/komorebi.ai\/?page_id=8639"},"modified":"2024-01-11T14:14:23","modified_gmt":"2024-01-11T14:14:23","slug":"personalizing-text-to-image-generation","status":"publish","type":"page","link":"https:\/\/komorebi.ai\/en\/personalizing-text-to-image-generation\/","title":{"rendered":"Personalizing Text-to-Image Generation via Aesthetic Gradients"},"content":{"rendered":"
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Personalizing Text-to-Image Generation via Aesthetic Gradients\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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NeurIPS, Workshop on ML for Creativity and Design, 2022<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This work proposes <\/span>Aesthetic Gradients<\/b>, a method <\/span>to personalize diffusion models<\/b> by guiding the generative process towards custom aesthetics defined by the user from a set of images.\u00a0 The approach is validated with qualitative and quantitative experiments, using the recent stable diffusion model and several aesthetically-filtered datasets.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The study introduces Aesthetic Gradients for personalizing diffusion models, advancing user-interactive technology and impacting fields like digital art, design, and marketing.<\/p><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Where does it apply?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It can be used in <\/span>digital art and design<\/b> to create unique, AI-generated visuals guided by custom aesthetics. In <\/span>marketing<\/b>, it can produce customized ad content in line with brand aesthetics.\u00a0<\/span><\/p>

The entertainment industry can use it to generate personalized visual effects or graphics. It can also be used in personal software applications for user-customizable aesthetic outcomes.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why does it matters?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The proposed aesthetic gradients matter as they allow for a new level of personalization in the generative systems.<\/span><\/p>

With this method, a user can guide the generative model towards custom aesthetics defined by a chosen set of images. This enables the creation of unique, <\/span>personalized AI-generated content<\/b>, enhancing the usability and applications of such models in fields like digital art, design, marketing, and entertainment.\u00a0<\/span><\/p>

Additionally, by providing both qualitative and quantitative validation, this work advances our understanding and effectiveness of user-guided and aesthetically-informed machine learning models. Thus, it holds significant implications for the future of creative AI and user-interactive technology.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Personalizing Text-to-Image Generation via Aesthetic Gradients\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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NeurIPS, Workshop on ML for Creativity and Design, 2022<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tVictor Gallego <\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tChief Research Officer<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Other publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Adversarial Machine Learning: Bayesian Perspectives\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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AI in drug development: a multidisciplinary perspective\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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A Bayesian approach to enhance defense against security threats in Machine Learning systems, applicable across cybersecurity, unsupervised learning and natural language processing.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The review explores the use of AI, particularly Bayesian approaches, in speeding up and reducing the cost of drug development across all stages.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Machine Learning to analyze tuna behavior around Fish Aggregating Devices, providing insights to enhance sustainable fishing, marine biology research and conservation policies.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Personalizing Text-to-Image Generation via Aesthetic Gradients NeurIPS, Workshop on ML for Creativity and Design, 2022 Abstract This work proposes Aesthetic Gradients, a method to personalize diffusion models by guiding the generative process towards custom aesthetics defined by the user from a set of images.\u00a0 The approach is validated with qualitative and quantitative experiments, using the […]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"\nPersonalizing Text-to-Image Generation via Aesthetic Gradients - Komorebi AI<\/title>\n<meta name=\"description\" content=\"Study introduces Aesthetic Gradients for personalizing diffusion models, impacting digital art, design, and marketing fields.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/komorebi.ai\/en\/personalizing-text-to-image-generation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Personalizing Text-to-Image Generation via Aesthetic Gradients - 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