Brosch AI - Distorted Dreams:: Expanding and Animating an Archive With AI

Victoria Maria Wolfersberger; Celine Thuy Tien Pham; Jolanda Abasolo; Jürgen Hagler

doi:10.54337/caga24-11172

Brosch AI - Distorted Dreams: Expanding and Animating an Archive With AI

Victoria Maria Wolfersberger
, Celine Thuy Tien Pham
, Jolanda Abasolo
, Jürgen Hagler

Research Center Hagenberg

Research output: Contribution to conference › Paper › peer-review

Abstract

Brosch AI - Distorted Dreams explores the intersection of artificial intelligence, art, archives, and animation. The project transforms the archive of Upper Austrian artist Klemens Brosch (1894– 1926) into an AI-animated film. While AI image-generation tools typically rely on online archives, museum collections often provide only low-
quality digital reproductions. By utilizing high-resolution images from Brosch’s archive, this project investigates the potential of AI-driven animation while addressing challenges related to stylistic control, and creative authenticity. The findings demonstrate that while AI can produce high-quality outputs, extensive refinement and iterative adjustments are necessary to preserve the essence of
Brosch’s work. The project sparks critical discussions on authorship, originality, and the evolving role of technology in artistic creation.

Original language	English
Pages	45-48
Number of pages	4
DOIs	https://doi.org/10.54337/caga24-11172
Publication status	Published - 18 Dec 2025
Event	7th Conference of AG Animation 2024 (CAGA): The (R)Evolution of Animation: Current Challenges and Future Directions - Paletten, Tinghallen, Viborg, Denmark Duration: 10 Sept 2024 → 11 Sept 2024 https://caga24.via.dk

Conference

Conference	7th Conference of AG Animation 2024 (CAGA)
Country/Territory	Denmark
City	Viborg
Period	10.09.2024 → 11.09.2024
Internet address	https://caga24.via.dk

Keywords

GenAI
Cultural Heritage
AI Art
Digital Art

Access to Document

10.54337/caga24-11172

Cite this

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title = "Brosch AI - Distorted Dreams:: Expanding and Animating an Archive With AI",

abstract = "Brosch AI - Distorted Dreams explores the intersection of artificial intelligence, art, archives, and animation. The project transforms the archive of Upper Austrian artist Klemens Brosch (1894– 1926) into an AI-animated film. While AI image-generation tools typically rely on online archives, museum collections often provide only low- quality digital reproductions. By utilizing high-resolution images from Brosch{\textquoteright}s archive, this project investigates the potential of AI-driven animation while addressing challenges related to stylistic control, and creative authenticity. The findings demonstrate that while AI can produce high-quality outputs, extensive refinement and iterative adjustments are necessary to preserve the essence of Brosch{\textquoteright}s work. The project sparks critical discussions on authorship, originality, and the evolving role of technology in artistic creation.",

keywords = "Digital Arts, Cultural Heritage, Archive, GenAI, AI Art, GenAI, Cultural Heritage, AI Art, Digital Art",

author = "Wolfersberger, \{Victoria Maria\} and Pham, \{Celine Thuy Tien\} and Jolanda Abasolo and J{\"u}rgen Hagler",

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doi = "10.54337/caga24-11172",

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T2 - 7th Conference of AG Animation 2024 (CAGA)

AU - Wolfersberger, Victoria Maria

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AU - Hagler, Jürgen

PY - 2025/12/18

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N2 - Brosch AI - Distorted Dreams explores the intersection of artificial intelligence, art, archives, and animation. The project transforms the archive of Upper Austrian artist Klemens Brosch (1894– 1926) into an AI-animated film. While AI image-generation tools typically rely on online archives, museum collections often provide only low- quality digital reproductions. By utilizing high-resolution images from Brosch’s archive, this project investigates the potential of AI-driven animation while addressing challenges related to stylistic control, and creative authenticity. The findings demonstrate that while AI can produce high-quality outputs, extensive refinement and iterative adjustments are necessary to preserve the essence of Brosch’s work. The project sparks critical discussions on authorship, originality, and the evolving role of technology in artistic creation.

AB - Brosch AI - Distorted Dreams explores the intersection of artificial intelligence, art, archives, and animation. The project transforms the archive of Upper Austrian artist Klemens Brosch (1894– 1926) into an AI-animated film. While AI image-generation tools typically rely on online archives, museum collections often provide only low- quality digital reproductions. By utilizing high-resolution images from Brosch’s archive, this project investigates the potential of AI-driven animation while addressing challenges related to stylistic control, and creative authenticity. The findings demonstrate that while AI can produce high-quality outputs, extensive refinement and iterative adjustments are necessary to preserve the essence of Brosch’s work. The project sparks critical discussions on authorship, originality, and the evolving role of technology in artistic creation.

KW - Digital Arts

KW - Cultural Heritage

KW - Archive

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KW - AI Art

KW - GenAI

KW - Cultural Heritage

KW - AI Art

KW - Digital Art

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