AI‑generated images feel cinematic not because they imitate cameras, but because they activate the perceptual, environmental, and authorial structures that organize cinematic meaning. The Ideational Frame identifies these inherited logics and reveals how they resolve into the three‑strata model, forming the conceptual foundation of AI Cinematic Realism.
From Lebenswelt to Emotional Plausibility: A Research Arc Toward AI Cinematic Realism
This article traces a research arc from analogue investigations of the Lebenswelt to the emergence of AI Cinematic Realism. It shows how Kracauerian tropes migrate across media, shifting realism from indexical redemption of physical reality to synthetic emotional plausibility while preserving phenomenology as the core method and evaluative standard.
The Emotional Truth of Synthetic History: AI Cinematic Realism in On This Day… 1776
AI‑generated cinema isn’t a degraded imitation of film—it’s a new mode of truth built from emotional plausibility, not photographic capture. This essay uses On This Day… 1776 to explore how synthetic imagery challenges assumptions about realism, showing how plausibility, authorship, and machine texture reshape what feels convincing on screen.
Emotional Plausibility and the Synthetic Image: Toward an AI Cinematic Realism
A new framework for understanding realism in the age of AI. This article argues that cinematic realism no longer depends on photographic truth but on emotional plausibility—how images feel, cohere, and resonate. It redefines realism through cognition, atmosphere, and human–AI co‑authorship.
The Camera is a Myth — an excerpt from AI Cinematic Realism
This essay challenges the idea that realism in AI-generated cinema is about visual accuracy or photographic fidelity. It introduces AI Cinematic Realism as a new framework—one rooted in emotional truth, narrative meaning, and the human experience of images created without a camera, lens, or recorded event.
Realism Without a Trace — an excerpt from AI Cinematic Realism
This essay traces the historical link between cinematic realism and the photographic trace—from the Lumière brothers to Kracauer and Bazin—then examines how AI-generated images rupture that foundation. It argues that AI cinema replaces indexical truth with plausibility, reshaping how realism and trust are understood.
The Latent Image — an excerpt from AI Cinematic Realism
This essay reframes cinematic realism as a phenomenon of perception rather than indexical truth. Drawing on phenomenology and philosophy of mind, it explores how AI-generated images can feel real without referring to the world, and how realism shifts in an era of generative systems and posthuman authorship.
AI Cinematic Realism: Establishing a New Field for Film, Philosophy, and Media
AI Cinematic Realism explores how artificial intelligence is reshaping the very foundations of cinematic realism. From Kracauer and Bazin’s indexical image to today’s generative platforms like Sora, Runway, Gemini, and MidJourney, this article argues for a new interdisciplinary field bridging film studies, philosophy, ethics, and media practice. It calls for collaboration to understand realism in an era where the real and the synthetic intertwine.
AI Cinematic Realism: On the Aesthetics of an AI-Generated World
AI cinematic realism isn’t just about photorealistic images—it’s about how synthetic scenes make us feel, think, and respond. As AI reshapes the idea of presence, emotion, and authenticity on screen, we’re pushed to reconsider what “realism” means when the camera is gone and only imagination remains.