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Science of Imagination Lab SOILIE-3D

SOILIE-3D spatial imagination research project

Spatial cognition · procedural scenes · visual memory

Where memorybecomes a place.

SOILIE-3D explores a question: can measured relationships from observed rooms act as a compact spatial memory for constructing a place that has never existed?

Run an experiment See how it works
  • 01Observed relationships
  • 02Explicit spatial constraints
  • 03Inspectible outputs

Four examples from the model

Each completed room sits beside its V4 formation sequence. The camera turns toward new objects while earlier ones lose detail, brightness, colour, and opacity. Explore how the model constructs these scenes.

Animated previews are replaced with stills when your device requests reduced motion.

The idea

A small research model with a visible line of reasoning.

SOILIE-3D (Science of Imagination Lab Imagination Engine 3D) treats measurements from labelled RGB-D observations as a rough form of spatial memory. It recombines recorded relationships, then tries to place familiar object classes into a new arrangement.

The system is deliberately explicit rather than a black-box image generator. Distances, object sizes, orientation rules, support relationships, boundaries, placement order, and uncertainty can all be inspected in the resulting scene data. These are cognitively inspired design hypotheses, not evidence that the engine duplicates human imagination.

From recollection to reconstruction

A hypothesis rendered as a room.

Each stage turns observations into constraints, and constraints into a scene that can be examined rather than simply accepted.

01

Observe

Labelled RGB-D examples provide object identities, depth, and recurring distance and angle patterns in indoor scenes.

02

Constrain

The engine turns those patterns into explicit distance, scale, orientation, boundary, support, and collision constraints.

03

Test

The V4 triplet sampler and Blender rule sequence produce an inspectible proposal, including the result data used to build it.

Open the research archive

Inspect the evidence behind each experiment.

Browse source assets, intermediate data, and generated outputs from this evolving research prototype.

Enter the data archive
A 3D object assetsBrowse the .obj source library B Processing dataExplore auxiliary model outputs C Imagined scenesReview generated experiments