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Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction

Paper recorded by Signals 4 on 2026-09-04 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.AI · 人工智能 · first seen 2026-09-07

Abstract

Diffusion TV is an interactive AI art installation that offers a tangible and embodied experience of diffusion models through a modified CRT TV. By physically manipulating the TV's antenna, audiences control the clarity of AI-generated images and sounds, metaphorically enacting the denoising process that underlies diffusion-based generation. Using the tuning knob, participants switch between three

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#161 most recent of 300 cs.AI papers we have recorded · ↑ newer: The Audit Decides the Verdict: Instrument Effects Rival Demographic Bi · ↓ older: RegionFed: Federated Learning for Personalized Query Understanding in

Cite this page: Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction: the #161 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-tv-experiencing-diffusion-models-through-tangible-embodied-interaction.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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