Sigmara is a generative image process that probes the threshold between legibility and abstraction. Using feature recognition algorithms to reveal hidden structures in form and texture. These unseen patterns reshape the image, altering its original form without erasing its presence.
Rather than simply blending two images, Sigmara synthesizes them: one offers structural contours, the other a reservoir of texture. Sigmara operates as a dialogue between deterministic rules and open-ended potential. Though the algorithm is bounded, its outcomes remain indeterminate.
Rather than simply blending two images, Sigmara synthesizes them: one offers structural contours, the other a reservoir of texture. Sigmara operates as a dialogue between deterministic rules and open-ended potential. Though the algorithm is bounded, its outcomes remain indeterminate.
Resonating with glitch aesthetics, Sigmara dwells in the liminal zone where images fragment and cohere through deliberate distortion. Its process unfolds without finality; each iteration is a unique articulation shaped by both algorithmic logic and the artist’s interventions. Rather than resolving into a fixed image, Sigmara navigates a dynamic field, where form is always in flux, and legibility is continually deferred.