NUCA is an AI-powered camera that captures individuals in their purest form – no clothing, literally stripped down to their authentic selves in their natural state.

A camera that renders people completely naked? Ever fantasized about Superman’s X-Ray Vision? NUCA brings that childhood dream (of many boys) to life, challenging our perceptions of privacy and exposure. The project wants to explore what that “dream” coming true could mean and explore this new scenario together with you. Unlike other deepfakes, the NUCA device ties the creator and subject physically together and shows the result immediately. It so takes away the anonymity that is inherent to internet deepfakes and contrasts playfulness with this nightmarish trend. To make this speculative (though very plausible) scenario tangible, NUCA is framed in the manner of a typical tech startup, trying with a private beta campaign to find its users.

The current NUCA prototype is a 3D-printed camera (19.5 × 6 × 1.5 cm, 430g). The device is equipped with a 37 mm wide-angle lens and an ergonomic grip. The viewfinder displays the input image and can be configured to show some of the input parameters, e.g. pose detection in real-time. By pressing the trigger, the camera will create an estimated natural nude representation of the person being photographed. The inputs of the generative image process are the photo, the person’s pose (estimated skeleton) and the landmarks of the person’s face. The input photo is being analysed by a custom classifier on 45 identifiers on gender, age, ethnicity, expression, hair, glasses, body shape etc. These ratings are then used to generate a base image by formulating a prompt for a text-to-image AI (Stable Diffusion). The base image is a generic estimation of a nude person fulfilling this prompt. In the last step, the image is then individualised by taking the person’s face and pose into account in the final development of the nude portrait.

The project aims to provoke and question the current trajectory of generative AI in reproducing body images.

Mathias Vef + Benedikt Groß | social → @mathiasvef + @bndktgrs | GitHub

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