Indoor Scene Synthesis

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (26 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
  10 Nov 2021 4 repositories listed
  However, current simulators for Embodied AI (EAI) challenges only provide simulated indoor scenes with a limited number of layouts.
• Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
  29 Nov 2018 2 repositories listed
  We present a new, fast and flexible pipeline for indoor scene synthesis that is based on deep convolutional generative models.
• S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
  23 Dec 2024 1 repository listed
  It disentangles the multimodal relationships into scene layout relationships and detailed object relationships, fusing them later through implicit neural fields (INFs).
• Mixed Diffusion for 3D Indoor Scene Synthesis
  31 May 2024 1 repository listed Syntology ran 8 of 10 samples · 2 unverified · 10 pointer-only (licence)
  However, applying diffusion models to floor-conditioned indoor scene synthesis remains under-explored.
• InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior
  7 Feb 2024 1 repository listed
  We introduce InstructScene, a novel generative framework that integrates a semantic graph prior and a layout decoder to improve controllability and fidelity for 3D scene synthesis.
• LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
  24 May 2023 1 repository listed Syntology ran 3 of 19 samples · 16 unverified
  When combined with a downstream image generation model, LayoutGPT outperforms text-to-image models/systems by 20-40% and achieves comparable performance as human users in designing visual layouts for numerical and…
• DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
  24 Mar 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We introduce a diffusion network to synthesize a collection of 3D indoor objects by denoising a set of unordered object attributes.
• CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
  7 Mar 2023 1 repository listed
  Whether heuristic or learned, these methods ignore instance-level visual attributes of objects, and as a result may produce visually less coherent scenes.
• ATISS: Autoregressive Transformers for Indoor Scene Synthesis
  7 Oct 2021 1 repository listed
  The ability to synthesize realistic and diverse indoor furniture layouts automatically or based on partial input, unlocks many applications, from better interactive 3D tools to data synthesis for training and simulation.
• End-to-End Optimization of Scene Layout
  23 Jul 2020 1 repository listed Syntology ran 0 of 10 samples · 10 unverified
  Experiments suggest that our model achieves higher accuracy and diversity in conditional scene synthesis and allows exemplar-based scene generation from various input forms.
• Human-centric Indoor Scene Synthesis Using Stochastic Grammar
  25 Aug 2018 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, to obtain large-scale 2D/3D image data with perfect per-pixel ground truth.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.