DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection

Schäfer, Bernhard; Stuckenschmidt, Heiner

doi:10.1007/978-3-030-86549-8_39

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Cited by 6 publications

References 22 publications

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Automatic Analysis of Student Drawings in Chemistry Classes

Stamatakis,

Gritz,

Oldag

et al. 2023

Lecture Notes in Computer Science

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Automatic Analysis of Student Drawings in Chemistry Classes

Stamatakis,

Gritz,

Oldag

et al. 2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Structure Diagram Recognition in Financial Announcements

Qiao,

Wang,

Xiang

et al. 2023

Lecture Notes in Computer Science

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Computer-aided design of hand-drawn art food packaging design based on a deep neural network model

Cui

2024

Int. J. Simul. Multidisci. Des. Optim.

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Background: The term “hand-drawn art food packaging design” (HAFPD) refers to a novel and creative method of food package design that makes use of hand-drawn illustrations, typography, and graphi graphics. This kind of design technique allows for a more individual touch, giving the package a special feeling that might strike a more meaningful connection with customers. Materials and Methods: Hand-drawn art on food packaging is a powerful tool for brand identification and awareness since it helps communicate the company's values, personality, and history. When it comes to developing HAFPD, computer-aided design (CAD) may be a very useful tool. The study proposes a deep neural network (DNN)-based CAD system for HAFPD. Results: The approach blends conventional hand-drawing processes with modern digital tools to empower designers to produce package designs that are both aesthetically pleasing and practically viable. Conclusion: To track duration statistics for watch design using CAD software, designers can use a time-tracking tool or plugin. These tools can track the time spent on different tasks, such as sketching, modeling, rendering, and refining the design in food packaging. The proposed technique offers designers an effective and simple way to produce distinctive food packaging designs while preserving the authenticity of hand-drawn artwork.

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DiagramNet: Hand-Drawn Diagram Recognition Using Visual Arrow-Relation Detection

Cited by 6 publications

References 22 publications

Automatic Analysis of Student Drawings in Chemistry Classes

Automatic Analysis of Student Drawings in Chemistry Classes

Structure Diagram Recognition in Financial Announcements

Computer-aided design of hand-drawn art food packaging design based on a deep neural network model

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