From Pencil to Pixel: The Journey from Traditional Animation to Artificial Intelligence

Fuente: Zenodo
Salvato in:
Dettagli Bibliografici
Autori principali: Abhilasha R . Patil, Ajay S. Pardeshi, Omkar P . Jadhav, Prasad R. Shukla
Natura: Recurso digital
Lingua:Antico inglese
Pubblicazione: Zenodo 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866901979887828992
author Abhilasha R . Patil
Ajay S. Pardeshi
Omkar P . Jadhav
Prasad R. Shukla
author_facet Abhilasha R . Patil
Ajay S. Pardeshi
Omkar P . Jadhav
Prasad R. Shukla
contents <p>Animation has long united art and technology, but recent advances have tipped the balance toward automation. This paper examines how traditional hand-drawn animation—once the hallmark of creativity and storytelling—is being replaced by digital and AI-driven methods. Traditional animation, known for its craftsmanship and cultural depth, required immense manual effort, with each frame drawn by hand. The arrival of digital tools revolutionized this process, streamlining inking, coloring, and motion while maintaining human control.</p> <p>Now, artificial intelligence—through generative models, deep learning, and text-to-animation systems—has transformed animation further, enabling entire sequences to be produced from prompts or sketches. These innovations make animation faster, cheaper, and more accessible, but they also raise concerns about the loss of artistic individuality, the displacement of skilled animators, and questions of authorship and authenticity.</p> <p>This paper explores both the benefits and drawbacks of this shift, using case studies and industry perspectives to assess whether AI signals the decline of traditional animation or a new creative partnership between human artists and intelligent systems. Ultimately, it seeks to understand how the evolving relationship between art and technology can preserve human creativity while embracing the efficiencies and possibilities offered by artificial intelligence.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19510988
institution Zenodo
language ang
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle From Pencil to Pixel: The Journey from Traditional Animation to Artificial Intelligence
Abhilasha R . Patil
Ajay S. Pardeshi
Omkar P . Jadhav
Prasad R. Shukla
Traditional Animation, Digital Art, AI-Driven Animation, Creativity, Technology, Human-AI Collaboration
<p>Animation has long united art and technology, but recent advances have tipped the balance toward automation. This paper examines how traditional hand-drawn animation—once the hallmark of creativity and storytelling—is being replaced by digital and AI-driven methods. Traditional animation, known for its craftsmanship and cultural depth, required immense manual effort, with each frame drawn by hand. The arrival of digital tools revolutionized this process, streamlining inking, coloring, and motion while maintaining human control.</p> <p>Now, artificial intelligence—through generative models, deep learning, and text-to-animation systems—has transformed animation further, enabling entire sequences to be produced from prompts or sketches. These innovations make animation faster, cheaper, and more accessible, but they also raise concerns about the loss of artistic individuality, the displacement of skilled animators, and questions of authorship and authenticity.</p> <p>This paper explores both the benefits and drawbacks of this shift, using case studies and industry perspectives to assess whether AI signals the decline of traditional animation or a new creative partnership between human artists and intelligent systems. Ultimately, it seeks to understand how the evolving relationship between art and technology can preserve human creativity while embracing the efficiencies and possibilities offered by artificial intelligence.</p>
title From Pencil to Pixel: The Journey from Traditional Animation to Artificial Intelligence
topic Traditional Animation, Digital Art, AI-Driven Animation, Creativity, Technology, Human-AI Collaboration
url https://doi.org/10.5281/zenodo.19510988