mlsanityData to 7 Oct 2026

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes

arXiv 2401.03470 ↗First posted 7 Jan 2024cs.CV cs.AIcited by 10

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Abstract (arXiv)

Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generation methods can produce reasonable room layouts but often lack diversity and realism. This is primarily due to the limited coverage of existing datasets, including only large furniture without tiny furnishings in daily life. To address these challenges, we propose FurniScene, a large-scale 3D room dataset with intricate furnishing scenes from interior design professionals. Specifically, the FurniScene consists of 11,698 rooms and 39,691 unique furniture CAD models with 89 different types, covering things from large beds to small teacups on the coffee table. To better suit fine-grained indoor scene layout generation, we introduce a novel Two-Stage Diffusion Scene Model (TSDSM) and conduct an evaluation benchmark for various indoor scene generation based on FurniScene. Quantitative and qualitative evaluations demonstrate the capability of our method to generate highly realistic indoor scenes. Our dataset and code will be publicly available soon.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 40 of its 71 references that are in the map. First posted on arXiv 7 Jan 2024.

Builds on

40 of 71 references.

References · 40

  1. 2017Attention Is All You Needcited by 59,932
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  4. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  5. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  6. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  7. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
  8. 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,354
  9. 2020Improved Techniques for Training Score-Based Generative Modelscited by 1,036
  10. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 747
  11. 2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulationcited by 640
  12. 2021Habitat 2.0: Training Home Assistants to Rearrange their Habitatcited by 501
28 more
  1. 20203D-FRONT: 3D Furnished Rooms with layOuts and semaNTicscited by 375
  2. 20203D-FUTURE: 3D Furniture shape with TextUREcited by 306
  3. 2019Structured3D: A Large Photo-realistic Dataset for Structured 3D Modelingcited by 285
  4. 2023NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Modelscited by 274
  5. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 195
  6. 2023DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesiscited by 159
  7. 2020SceneFormer: Indoor Scene Generation with Transformerscited by 154
  8. 2021DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanismcited by 154
  9. 2018Scan2CAD: Learning CAD Model Alignment in RGB-D Scanscited by 142
  10. 2022FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesiscited by 136
  11. 2018Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Modelscited by 105
  12. 2023LEGO-Net: Learning Regular Rearrangements of Objects in Roomscited by 75
  13. 2018Human-centric Indoor Scene Synthesis Using Stochastic Grammarcited by 73
  14. 2020OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasetscited by 73
  15. 2022DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion modelscited by 65
  16. 2018Deep Generative Modeling for Scene Synthesis via Hybrid Representationscited by 63
  17. 2023CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusioncited by 54
  18. 2020End-to-End Optimization of Scene Layoutcited by 52
  19. 2018GRAINS: Generative Recursive Autoencoders for INdoor Scenescited by 38
  20. 2023SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometrycited by 38
  21. 2015SceneNet: Understanding Real World Indoor Scenes With Synthetic Datacited by 29
  22. 2021Scene Synthesis via Uncertainty-Driven Attribute Synchronizationcited by 29
  23. 2021Indoor Scene Generation from a Collection of Semantic-Segmented Depth Imagescited by 27
  24. 2022Learning 3D Scene Priors with 2D Supervisioncited by 24
  25. 2023CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embeddingcited by 16
  26. 2023CAD-Estate: Large-scale CAD Model Annotation in RGB Videoscited by 14
  27. 2021A Curriculum-style Self-training Approach for Source-Free Semantic Segmentationcited by 10
  28. 2023Learning Structure-Guided Diffusion Model for 2D Human Pose Estimationcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 5; 2026: 2.

10 papers.

  1. 2024DeBaRA: Denoising-Based 3D Room Arrangement Generationcited by 20
  2. 2025RoomCraft: Controllable and Complete 3D Indoor Scene Generationcited by 9
  3. 2025TRELLISWorld: Training-Free World Generation from Object Generatorscited by 7
  4. 2024MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assetscited by 6
  5. 2025M3DLayout: A Multi-Source Dataset of 3D Indoor Layouts and Structured Descriptions for 3D Generationcited by 5
  6. 2025HLG: Comprehensive 3D Room Construction via Hierarchical Layout Generationcited by 4
  7. 2024SceneX: Procedural Controllable Large-scale Scene Generationcited by 1
  8. 2025RoomPilot: Controllable Indoor Scene Synthesis via Multimodal Semantic Parsingcited by 0
  9. 2026DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusioncited by 0
  10. 2026Architect-Ant: Editable Automatic Furnishing of Architectural Floor Planscited by 0