Paper page - Function2Scene: 3D Indoor Scene Layout from Functional Specifications

Source: https://huggingface.co/papers/2605.30819

Abstract

Function2Scene generates 3D indoor layouts from functional descriptions by parsing user needs and applying design constraints through an iterative refinement process combining geometric analysis, language modeling, and visual assessment.

Mosttext-driven 3D indoor scene synthesismethods generate rooms from object-centric prompts, asking what furniture should be placed rather than how the space is used. Yet in real interior design, a layout is judged by how well it supports its occupants, e.g., theiractivitiesand physical needs. We introduce Function2Scene, a framework for generating 3D indoor layouts fromfunctional specifications, i.e.,natural-language design briefsdescribing who will use a room and what they need to do there. Given such a specification, our system parsesoccupant personasandactivities, derives a customized set offunctional design constraintsfrom ataxonomy of 17 criteriaspanning spatial, ergonomic, activity, and environmental considerations, and uses these constraints to guide layout generation. Rather than relying on an LLM to directly produce a final scene, Function2Scene performs iterative evaluation and refinement through a tool-augmentedcheck-and-repair loop, combininggeometric measurements,LLM-based contextual reasoning, andVLM-based visual assessment. Experiments on 30 professionally written interior-design cases show that Function2Scene produces layouts that better satisfy functional requirements than recent LLM-based scene synthesis baselines, with our results preferred in 94.3% of pairwise comparisons. Our work reframes text-driven indoor scene synthesis from placing plausible objects to designing spaces that support human use.

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