Passing: An Endless Journey through Reconstructed Spacetime with AI-Generated Sound
cs.SD, cs.AI
Submitted: 2026-09-23
Updated: 2026-09-23
Comments: Accepted to the NeurIPS 2026 Creative AI Track
License: http://creativecommons.org/licenses/by/4.0/
The gist: This paper introduces Passing, an interactive audiovisual installation that generates an endless journey from a single continuous monorail-window recording by reconstructing it as a spatiotemporal
Terminology
Abstract
This paper introduces Passing, an interactive audiovisual installation that generates an endless journey from a single continuous monorail-window recording by reconstructing it as a spatiotemporal volume. Rather than replaying the footage linearly, the work resamples its spatial and temporal structure along nonlinear trajectories, producing a continuously passing landscape whose depth, speed, and temporal order become unstable. A camera-based viewer-presence detection system estimates whether a viewer is present in the viewing zone and uses this presence state to influence transitions among rendered video sequences. The resulting video stream is fed into SpecMaskFoley, a real-time video-to-audio synthesis model that generates a synchronized soundscape for the reconfigured image. The model is not used to reconstruct an objectively correct soundtrack, but functions as a speculative listener, proposing a possible auditory interpretation of a world whose conventional spatial and temporal premises have been disrupted. Passing distributes creative agency across the artist, who defines the rules of spacetime reconstruction; the AI model, which interprets the emergent visual flow as sound; and the audience, whose embodied presence influences the audiovisual trajectory. Through this structure, the work investigates how authorship and listening may be negotiated among human intention, machine inference, and audience interpretation. Artwork page: https://ryufurusawa.com/passing
Sources
- Read, Watch and Scream! Sound Generation from Text and Video
- FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds
- Taming Visually Guided Sound Generation
- Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
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