🖥Dynamic Generation of Style Definition of Vector Tile Maps through User-System Dialogues

[yuiseki]

From:

• 言語処理学会2023における地理空間情報関連の一般発表 #85 (comment)
• https://scrapbox.io/yuiseki/B10-4_Towards_Unsupervised_Remote_Sensing_Image_Captioning_and_Retrieval_with_Pre-Trained_Language_Models

Abstruct:

• Input

  • ユーザーとシステムの対話に基づいてベクトルタイル地図のスタイル定義を動的に生成するという研究を報告する論文を書きます。ベクトルタイル地図はスタイル定義によって見た目を自在に変更することが可能ですが、このスタイル定義は非常に難解かつ繊細で、その制作は一部の人だけができる職人技になっていました。よって、現状、ベクトルタイル地図の持つ可能性は、十分に活用されているとは言えません。この論文では、大規模言語モデルによって可能となった、ユーザーとシステムの対話に基づいたベクトルタイル地図のスタイルを随時変化させていくようなソフトウェアの試作と評価を行います。タイトルと概要を英語で出力してください。

• GPT-3.5

  • Vector tile maps have the potential to be customized to a high degree through style definitions, but the creation of such definitions has traditionally been a complex and specialized task limited to a few experts. As a result, the full potential of vector tile maps has not been fully realized. In this paper, we present a prototype software system that leverages large-scale language models to enable dynamic changes to vector tile map styles through user-system dialogue. We evaluate the effectiveness of our system through user studies and demonstrate its potential for making vector tile maps more accessible and customizable to a wider range of users.

• GPT-4

  • Vector tile maps offer immense potential for visual customization through style definitions, yet the complexity and intricacy of crafting these styles have restricted their creation to a select few skilled artisans. As a result, the full capabilities of vector tile maps have not been adequately utilized. In this paper, we report on the development and evaluation of a novel software prototype that leverages the capabilities of large-scale language models to dynamically generate vector tile map styles based on user-system dialogues. By engaging in conversation with users, the system can effectively adapt the map's appearance to meet the users' specific needs and preferences. This approach not only democratizes the creation of map styles but also unlocks the untapped potential of vector tile maps for a wider range of applications and user experiences.

[yuiseki]

memo: GPT-3.5でも結構頑張ってくれる

[yuiseki]

charites-ai によってこれは達成できたので、閉じます