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LatinX in AI at International Conference on Machine Learning 2022最新文献

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Interpretable Process Mining Opportunities and Challenges 可解释过程挖掘的机遇与挑战
LatinX in AI at International Conference on Machine Learning 2022 Pub Date : 2022-07-17 DOI: 10.52591/lxai202207175
Ana Rocío Cárdenas Maita, Marcelo Fantinato
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引用次数: 0
AI For Preservation of Cultural Heritage: Classifier Guided Diffusion for Image Inpainting. Applications to Fine Art 人工智能在文化遗产保护中的应用:分类器引导下的图像绘制扩散。美术应用
LatinX in AI at International Conference on Machine Learning 2022 Pub Date : 2022-07-17 DOI: 10.52591/lxai202207174
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引用次数: 0
A Model-Based Filter to Improve Local Differential Privacy 一种改进局部差分隐私的基于模型的过滤器
LatinX in AI at International Conference on Machine Learning 2022 Pub Date : 2022-07-17 DOI: 10.52591/lxai202207171
J. Gutiérrez, Valérie Gauthier-Umaña, Juan Perez
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引用次数: 0
Discriminative Candidate Selection for Image Inpainting Applications to the Fine Arts 图像绘画应用于美术的甄别性候选人选择
LatinX in AI at International Conference on Machine Learning 2022 Pub Date : 2022-07-17 DOI: 10.52591/lxai202207176
Lucia Cipolina-Kun, S. M. Papadakis, Simone Caenazzo
{"title":"Discriminative Candidate Selection for Image Inpainting Applications to the Fine Arts","authors":"Lucia Cipolina-Kun, S. M. Papadakis, Simone Caenazzo","doi":"10.52591/lxai202207176","DOIUrl":"https://doi.org/10.52591/lxai202207176","url":null,"abstract":"Within the field of Cultural Heritage, image inpainting is a conservation process that fills in missing or damaged parts of an artwork to present a complete image. Multi-modal diffusion models have brought photo-realistic results on image inpainting where content can be generated by using descriptive text prompts. However, these models fail to produce content consistent with a particular painter’s artistic style and period, being unsuitable for the reconstruction of fine arts and requiring laborious expert judgement. Moreover, generative models produce many plausible outputs for a given prompt. This work presents a methodology to improve the inpainting of fine art by automating the selection process of inpainted candidates. We propose a discriminator model that processes the output of inpainting models and assigns a probability that indicates the likelihood that the restored image belongs to a certain painter.","PeriodicalId":366061,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2022","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115404903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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