Advanced Artistic Style Transfer Using Deep Neural Network

Shibly, Kabid Hassan; Rahman, Sazia; Dey, Samrat Kumar; Shamim, Shahadat Hossain

doi:10.1007/978-3-030-52856-0_49

Cited by 2 publications

(4 citation statements)

References 13 publications

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“…Shibly et al investigate the use of artistic style transfer in AI-generated comic strips [13]. The work entails converting the aesthetic of existing comics to AI-generated panels, producing visually coherent and stylistically consistent storylines.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The work entails converting the aesthetic of existing comics to AI-generated panels, producing visually coherent and stylistically consistent storylines. The authors show how AI-generated content can mix smoothly with known artistic styles by using convolutional neural networks (CNNs) and style loss algorithms [13]. Wu et al explore personalized comic strip development by focusing on character-specific dialogue generation [14].…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Generate Comic Strips Using AI

Pramoda P Gunasekara,

Pawani Muthusala Perera,

Chathum D Adhihetty

et al. 2024

CONTRE

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The art of storytelling through comic strips has long been a favorite, grabbing the interest of readers of all ages and developing into a variety of genres today, from superhero comics to political comics. Comic strip readers are more literate, empathic, and open to social issues, according to studies. Comics have the power to change the way we see the world. This research paper presents a system (ComicGenie) for automatically creating comic strips for Batman based on user-entered text descriptions. The proposed system consists of distinct components such as character detection, environment detection, text bubble generation, and voiceover over the scenario, each specializing in different aspects of comic strip creation. SVM and fastText technologies in NLP were utilized for text classification when developing models. Overall, this research contributes to the field of comic strip creation, offering a comprehensive web application. The ComicGenie holds significant potential to revolutionize the comic industry and inspire new avenues for computer-generated storytelling.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Generate Comic Strips Using AI

Pramoda P Gunasekara,

Pawani Muthusala Perera,

Chathum D Adhihetty

et al. 2024

CONTRE

View full text Add to dashboard Cite

show abstract

“…Here also incorporate sentiment analysis to make sure that characters react emotionally in line with expectations, which adds to the realistic nature of the humorous encounters. Shibly, K. H. Rahman, S. et al investigate the use of artistic style transfer in AI-generated comic strips [13]. The work entails converting the aesthetic of existing comics to AIgenerated panels, producing visually coherent and stylistically consistent storylines.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The work entails converting the aesthetic of existing comics to AIgenerated panels, producing visually coherent and stylistically consistent storylines. The authors show how AI-generated content can mix smoothly with known artistic styles by using convolutional neural networks (CNNs) and style loss algorithms [13].…”

Section: Literature Reviewmentioning

confidence: 99%

AI-Generated Comic Strips

M.P.M,

K.A.D.D,

A.M.P.P

et al. 2023

IRJIET

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Comic strips have long been a popular method of storytelling, capturing the imagination of readers of all ages and evolving into a wide range of genres today, from superhero comics to political comics. Studies show that comic strips have a significant impact on readers' literacy, empathy, and openness to social issues. Comics have the ability to alter how to perceive the world. This research paper presents a system (ComicGenie) for automatically creating comic strips for Batman based on user-entered text descriptions. The proposed system consists of distinct components such as character detection, environment detection, text bubble generation, and voiceover over the scenario, each specializing in different aspects of comic strip creation. SVM and fastText technologies in NLP were utilized for text classification when developing models. Overall, this research contributes to the field of comic strip creation, offering a comprehensive web application. The ComicGenie holds significant potential to revolutionize the comic industry and inspire new avenues for computergenerated storytelling.

show abstract

Advanced Artistic Style Transfer Using Deep Neural Network

Cited by 2 publications

References 13 publications

Generate Comic Strips Using AI

Generate Comic Strips Using AI

AI-Generated Comic Strips

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