Evidence Hub

Visual Perception of Intuitive Physics and Its Computational Foundations

Bi W, Yildirim I

Annual review of vision science, 2026

Abstract

The visual system is attuned to the statistical regularities of the visual world, enabling rapid, almost reflexive, and highly accurate recognition of object identities and categories. This article presents recent advances across psychophysics, computational modeling, and cognitive neuroscience, which together suggest that the visual system is just as attuned to the laws of physics governing our physical world. We review psychophysical work showing that vision incorporates intuitive physics as a rapid, spontaneous, and stimulus-driven process. We review the computational framework of physics-based analysis by synthesis, which suggests that the visual perception of intuitive physics corresponds to building and manipulating approximate structure-preserving representations of physical scenes. We end with an outline of an integrative program of computational modeling work, along with neuroscientific and psychophysical studies, toward psychologically and neurally refined mechanistic accounts of the visual perception of intuitive physics.

How strong is the evidence?

Evidence Hub reads this as a review, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free