Awkward Wedding Photos
失敗した結婚写真
Introduction
失敗した結婚写真
Awkward Wedding Photos is an experimental image series generated using some of the earliest iterations of AI image-generation models. Employing a “image-to-image” process, the project explores whether artificial intelligence can comprehend—or misread—the nuances of subcultural aesthetics.
Centered around skewed compositions, awkward poses, and misplaced framing, the series deliberately embraces error as a form of inquiry. Drawing from the uncanny visual language of AI’s misinterpretation, these distorted wedding portraits become more than surreal glitches—they reflect the machine’s limited grasp of ritual, intimacy, and visual codes shaped by human subculture.
Rather than seeking technical perfection, Awkward Wedding Photos uses imperfection as a mirror: what does AI reveal when it tries to replicate the personal, the emotional, or the socially coded? Can a machine truly "understand" subculture, or does it merely recycle aesthetic surface without context?
In this tension between recognition and failure, the series becomes a quiet, uncanny critique of machine vision—where the absurdity of synthetic images reveals deeper questions about authorship, authenticity, and the limits of artificial perception.
Centered around skewed compositions, awkward poses, and misplaced framing, the series deliberately embraces error as a form of inquiry. Drawing from the uncanny visual language of AI’s misinterpretation, these distorted wedding portraits become more than surreal glitches—they reflect the machine’s limited grasp of ritual, intimacy, and visual codes shaped by human subculture.
Rather than seeking technical perfection, Awkward Wedding Photos uses imperfection as a mirror: what does AI reveal when it tries to replicate the personal, the emotional, or the socially coded? Can a machine truly "understand" subculture, or does it merely recycle aesthetic surface without context?
In this tension between recognition and failure, the series becomes a quiet, uncanny critique of machine vision—where the absurdity of synthetic images reveals deeper questions about authorship, authenticity, and the limits of artificial perception.