Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction
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 channels featuring AI-generated animals from the Past (extinct species), Present (endangered species), and Future (speculative creatures), situating the interaction within a temporal and ecological n
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-3.5-large →
“Fuzzy title match (0.73): “Diffusion TV: Experiencing Diffusion Models through Tangible” ≈ “stabilityai/stable-diffusion-3.5-large””
- FuzzySimilar title/name (fuzzy) · 59%stabilityai/stable-diffusion-xl-base-1.0 →
“Fuzzy title match (0.73): “Diffusion TV: Experiencing Diffusion Models through Tangible” ≈ “stabilityai/stable-diffusion-xl-base-1.0””
- FuzzySimilar title/name (fuzzy) · 59%CompVis/stable-diffusion-v1-4 →
“Fuzzy title match (0.73): “Diffusion TV: Experiencing Diffusion Models through Tangible” ≈ “CompVis/stable-diffusion-v1-4””
- PossiblePossibly related (embedding) · 47%Diffusion Models: The Deep Learning Architecture Behind Modern Generative AI - Snowflake →
- PossiblePossibly related (embedding) · 47%TechCrunch Disrupt 2026’s new Real World AI Stage features Nvidia, robots, and extinct animals →
- PossiblePossibly related (embedding) · 47%AI models get convenient amnesia about source material as they grow, MIT boffins find →
- PossiblePossibly related (embedding) · 47%Diffusion →
- LinkedLinked via arxiv author · 85%Sihwa Park →
“Diffusion TV: Experiencing Diffusion Models through Tangible, Embodied Interaction”