Déjà Vu: Uncanny and Serendipitous Re-encountering of Audiovisual Archives
The advent of the "generative age"marks a pivotal moment in AI evolution, with models like OpenAI's GPT-4 and DALL-E transforming content creation across various fields. These advancements bring unprecedented efficiency and new applications but also present challenges, notably AI hallucinations - factually incorrect or nonsensical outputs due to latent space misinterpretations. This research proposes using AI hallucinations and the digital uncanny to improve archival access through a déjà vu generator. This system connects user experiences with archival video clips, creating immersive installations that evoke familiarity and nostalgia, thus transforming archives into dynamic, memory-evoking interfaces.
Cite this item
Yang, Y. (2024). Déjà Vu: Uncanny and Serendipitous Re-encountering of Audiovisual Archives. In S. N. Spencer (Editor), Proceedings - SIGGRAPH Asia 2024 Art Papers, SA 2024 (No. 26). SIGGRAPH Asia Art Papers, Tokyo, Japan, December 3, 2024. https://doi.org/10.1145/3680530.3695438
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2-s2.0-85214886549
École Polytechnique Fédérale de Lausanne
2024-12-03
9798400711336
26
REVIEWED
EPFL
| Event name | Event acronym | Event place | Event date |
Tokyo, Japan | 2024-12-03 - 2024-12-06 | ||