Subjective Consistency, Series

2022 1'30" latent walk interpolation video 60fps 4K AI upscaled output Model training: 15000 steps Machine Learning: StyleGAN2 Model: #subjectiveconsistency Dataset: the complete documentation of my physical art practice from 2008 until January 2021.

The components of the dataset can be found on cibellecavallibastos.xyz under Bodies of Work/ Physical. It includes sculptures, paintings, text work, ceramics, textiles, watercolours and collages.

Subjective Consistency is a body of work made in cooperation with Machine Learning.

The #subjectiveconsistency model was trained using the complete documentation of my physical art practice from 2008 until January 2021, when the model training had begun.

I select pieces from the generated images and curate the interpolation order. The latent walk is the ML model's decision entirely.

This project intends to investigate a "subjective consistent" practice using Machine Learning and, through human-machine collaborations, attempt to image the aesthetic consistency derived beyond form.